索引 (tensorflow-client 1.11.0 API)

A B C D E F G H I J K L M N O P Q R S T U V W

A

ABORTED_VALUE - 枚举中的静态变量org.tensorflow.framework.Code: The operation was aborted, typically due to a concurrency issue like sequencer check failures, transaction aborts, etc.
addAllAllocationRecords(Iterable<? extends AllocationRecord>) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
addAllArgOrder(Iterable<String>) - 类中的方法org.tensorflow.framework.ApiDef.Builder: List of original in_arg names to specify new argument order.
addAllAssetFileDef(Iterable<? extends AssetFileDef>) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
addAllAttr(Iterable<? extends ApiDef.Attr>) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
addAllAttr(Iterable<? extends OpDef.AttrDef>) - 类中的方法org.tensorflow.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
addAllAttributes(Iterable<? extends CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor>) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Serialized data specific to this object.
addAllB(Iterable<? extends Boolean>) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(bool)" repeated bool b = 5 [packed = true];
addAllBadConsumers(Iterable<? extends Integer>) - 类中的方法org.tensorflow.framework.VersionDef.Builder: Specific consumer versions which are disallowed (e.g. due to bugs).
addAllBoolVal(Iterable<? extends Boolean>) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_BOOL repeated bool bool_val = 11 [packed = true];
addAllBucket(Iterable<? extends Double>) - 类中的方法org.tensorflow.framework.HistogramProto.Builder: repeated double bucket = 7 [packed = true];
addAllBucketLimit(Iterable<? extends Double>) - 类中的方法org.tensorflow.framework.HistogramProto.Builder: Parallel arrays encoding the bucket boundaries and the bucket values.
addAllChildren(Iterable<? extends CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference>) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Objects which this object depends on.
addAllClasses(Iterable<? extends Classification.Class>) - 类中的方法tensorflow.serving.Classification.Classifications.Builder: repeated .tensorflow.serving.Class classes = 1;
addAllClassifications(Iterable<? extends Classification.Classifications>) - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder: repeated .tensorflow.serving.Classifications classifications = 1;
addAllConfig(Iterable<? extends ModelServerConfigOuterClass.ModelConfig>) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder: repeated .tensorflow.serving.ModelConfig config = 1;
addAllConstNodeInfo(Iterable<? extends GraphTransferConstNodeInfo>) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addAllConstraint(Iterable<? extends KernelDef.AttrConstraint>) - 类中的方法org.tensorflow.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addAllContainer(Iterable<String>) - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder: A list of container names.
addAllContainer(Iterable<String>) - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder: A list of container names, which may be empty.
addAllControlInput(Iterable<? extends Integer>) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Ids of the control inputs for this node.
addAllControlOpIds(Iterable<? extends Long>) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: Control Operation IDs that will be respected when ops are re-ordered by async execution.
addAllCustomOptimizers(Iterable<? extends RewriterConfig.CustomGraphOptimizer>) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
addAllDcomplexVal(Iterable<? extends Double>) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
addAllDebugOps(Iterable<String>) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
addAllDebugTensorWatchOpts(Iterable<? extends DebugTensorWatch>) - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
addAllDebugUrls(Iterable<String>) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: URL(s) for debug targets(s).
addAllDefaultGraphInputTensorShape(Iterable<? extends RemoteFusedGraphExecuteInfo.TensorShapeTypeProto>) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
addAllDefaultGraphOutputTensorShape(Iterable<? extends RemoteFusedGraphExecuteInfo.TensorShapeTypeProto>) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
addAllDeviceAttributes(Iterable<? extends DeviceAttributes>) - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
addAllDeviceAttributes(Iterable<? extends DeviceAttributes>) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder: List of devices that are locally accessible to the worker.
addAllDeviceFilters(Iterable<String>) - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder: When any filters are present, only devices that match the filters will be reset.
addAllDeviceFilters(Iterable<String>) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
addAllDeviceName(Iterable<String>) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder: repeated string device_name = 4;
addAllDeviceName(Iterable<String>) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: repeated string device_name = 5;
addAllDevicePersistentTensorAllocIds(Iterable<? extends Long>) - 类中的方法org.tensorflow.framework.MemoryStats.Builder: 已过时。
addAllDevStats(Iterable<? extends DeviceStepStats>) - 类中的方法org.tensorflow.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
addAllDim(Iterable<? extends TensorShapeProto.Dim>) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addAllDoubleVal(Iterable<? extends Double>) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_DOUBLE.
addAllEnableOp(Iterable<String>) - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
addAllEndpoint(Iterable<? extends ApiDef.Endpoint>) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addAllEnqueueOpName(Iterable<String>) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: A list of enqueue operations.
addAllExamples(Iterable<? extends Example>) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder: repeated .tensorflow.Example examples = 1;
addAllExamples(Iterable<? extends Example>) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: repeated .tensorflow.Example examples = 1;
addAllExamples(Iterable<? extends ByteString>) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder: repeated bytes examples = 1;
addAllExamples(Iterable<? extends ByteString>) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder: repeated bytes examples = 1;
addAllExtent(Iterable<? extends TensorSliceProto.Extent>) - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
addAllF(Iterable<? extends Float>) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(float)" repeated float f = 4 [packed = true];
addAllFeature(Iterable<? extends Feature>) - 类中的方法org.tensorflow.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
addAllFeed(Iterable<String>) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Tensors to be fed in future steps.
addAllFeed(Iterable<? extends TensorProto>) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
addAllFeed(Iterable<? extends NamedTensorProto>) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Tensors to be fed in the step.
addAllFeed(Iterable<String>) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be fed in the callable.
addAllFeed(Iterable<? extends NamedTensorProto>) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Tensors to be fed in the step.
addAllFetch(Iterable<String>) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Fetches.
addAllFetch(Iterable<? extends TensorProto>) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
addAllFetch(Iterable<String>) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Fetches.
addAllFetch(Iterable<String>) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Fetches.
addAllFetch(Iterable<String>) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Fetches.
addAllFetchStepId(Iterable<? extends Long>) - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder: When set, requests all saved log data pertaining to the step.
addAllFloatVal(Iterable<? extends Float>) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_FLOAT.
addAllFullShape(Iterable<? extends Long>) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Shape of the full variable.
addAllFunc(Iterable<? extends NameAttrList>) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
addAllFunction(Iterable<? extends FunctionDef>) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
addAllGradient(Iterable<? extends GradientDef>) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
addAllGraphInputNodeInfo(Iterable<? extends GraphTransferGraphInputNodeInfo>) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
addAllGraphInputNodeName(Iterable<String>) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Remote fused graph input node name repeated string graph_input_node_name = 2;
addAllGraphKey(Iterable<? extends Long>) - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder: repeated int64 graph_key = 1;
addAllGraphOutputNodeInfo(Iterable<? extends GraphTransferGraphOutputNodeInfo>) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addAllGraphOutputNodeName(Iterable<String>) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Remote fused graph output node name repeated string graph_output_node_name = 3;
addAllHalfVal(Iterable<? extends Integer>) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_HALF, DT_BFLOAT16.
addAllHostMemoryArg(Iterable<String>) - 类中的方法org.tensorflow.framework.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
addAllI(Iterable<? extends Long>) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(int)" repeated int64 i = 3 [packed = true];
addAllInArg(Iterable<? extends ApiDef.Arg>) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
addAllInput(Iterable<String>) - 类中的方法org.tensorflow.framework.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
addAllInputArg(Iterable<? extends OpDef.ArgDef>) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the input(s).
addAllInputInfo(Iterable<? extends CostGraphDef.Node.InputInfo>) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addAllInputs(Iterable<? extends EagerServiceOuterClass.RemoteTensorHandle>) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
addAllInt64Val(Iterable<? extends Long>) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_INT64 repeated int64 int64_val = 10 [packed = true];
addAllIntVal(Iterable<? extends Integer>) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
addAllJob(Iterable<? extends JobDef>) - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
addAllKernel(Iterable<? extends KernelDef>) - 类中的方法org.tensorflow.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
addAllKeys(Iterable<String>) - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder: Keys for tensors in the VariantTensorDataProto.
addAllLines(Iterable<String>) - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
addAllLink(Iterable<? extends InterconnectLink>) - 类中的方法org.tensorflow.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
addAllLocalDevice(Iterable<? extends DeviceAttributes>) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes local_device = 1;
addAllLoopEnterNames(Iterable<String>) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: List of names for enter tensors.
addAllLoopExitNames(Iterable<String>) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: List of names for exit tensors.
addAllMaxByteSize(Iterable<? extends Integer>) - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder: repeated int32 max_byte_size = 2;
addAllMemory(Iterable<? extends AllocatorMemoryUsed>) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addAllMemoryLimitMb(Iterable<? extends Float>) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder: Per "virtual" device memory limit, in MB.
addAllMetadataField(Iterable<String>) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder: Metadata fields to get.
addAllMetaGraphs(Iterable<? extends MetaGraphDef>) - 类中的方法org.tensorflow.framework.SavedModel.Builder: One or more MetaGraphs.
addAllModelVersionStatus(Iterable<? extends GetModelStatus.ModelVersionStatus>) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder: Version number and status information for applicable model version(s).
addAllNestedContexts(Iterable<? extends ControlFlowContextDef>) - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
addAllNestedContexts(Iterable<? extends ControlFlowContextDef>) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
addAllNode(Iterable<? extends CostGraphDef.Node>) - 类中的方法org.tensorflow.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
addAllNode(Iterable<? extends NodeDef>) - 类中的方法org.tensorflow.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
addAllNodeDef(Iterable<? extends NodeDef>) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addAllNodeInfo(Iterable<? extends GraphTransferNodeInfo>) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addAllNodeInput(Iterable<? extends GraphTransferNodeInput>) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addAllNodeInputInfo(Iterable<? extends GraphTransferNodeInputInfo>) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addAllNodeOutputInfo(Iterable<? extends GraphTransferNodeOutputInfo>) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addAllNodes(Iterable<? extends CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject>) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
addAllNodeStats(Iterable<? extends NodeExecStats>) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
addAllocationRecords(AllocationRecord) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
addAllocationRecords(int, AllocationRecord) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
addAllocationRecords(AllocationRecord.Builder) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
addAllocationRecords(int, AllocationRecord.Builder) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
addAllocationRecordsBuilder() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
addAllocationRecordsBuilder(int) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
addAllOp(Iterable<? extends ApiDef>) - 类中的方法org.tensorflow.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
addAllOp(Iterable<? extends OpDef>) - 类中的方法org.tensorflow.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
addAllOpId(Iterable<? extends Long>) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder: Ids to wait on.
addAllOptimizers(Iterable<String>) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
addAllOutArg(Iterable<? extends ApiDef.Arg>) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
addAllOutput(Iterable<? extends NodeOutput>) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
addAllOutputArg(Iterable<? extends OpDef.ArgDef>) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the output(s).
addAllOutputFilter(Iterable<String>) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Output filter.
addAllOutputInfo(Iterable<? extends CostGraphDef.Node.OutputInfo>) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addAllPartitionGraph(Iterable<? extends GraphDef>) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: repeated .tensorflow.GraphDef partition_graph = 4;
addAllPartitionGraphs(Iterable<? extends GraphDef>) - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
addAllPersistentTensorAllocIds(Iterable<? extends Long>) - 类中的方法org.tensorflow.framework.MemoryStats.Builder: repeated int64 persistent_tensor_alloc_ids = 5;
addAllQueue(Iterable<? extends EagerServiceOuterClass.QueueItem>) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder: repeated .tensorflow.eager.QueueItem queue = 3;
addAllQueueClosedExceptionTypes(Iterable<? extends Code>) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
addAllQueueClosedExceptionTypesValue(Iterable<Integer>) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
addAllQueueResponse(Iterable<? extends EagerServiceOuterClass.QueueResponse>) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder: A single operation response for every item in the request.
addAllRecv(Iterable<? extends NamedTensorProto>) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
addAllRecvKey(Iterable<String>) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: repeated string recv_key = 4;
addAllReferencedTensor(Iterable<? extends AllocationDescription>) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addAllRegressions(Iterable<? extends RegressionOuterClass.Regression>) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder: repeated .tensorflow.serving.Regression regressions = 1;
addAllRemoteDevice(Iterable<? extends DeviceAttributes>) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes remote_device = 2;
addAllResourceHandleVal(Iterable<? extends ResourceHandleProto>) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
addAllResults(Iterable<? extends Inference.InferenceResult>) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
addAllS(Iterable<? extends ByteString>) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(string)" repeated bytes s = 2;
addAllScomplexVal(Iterable<? extends Float>) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
addAllSend(Iterable<? extends NamedTensorProto>) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Runs the graph.
addAllServables(Iterable<? extends FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor>) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: The servables to monitor for new versions, and aspire.
addAllSessionInterOpThreadPool(Iterable<? extends ThreadPoolOptionProto>) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
addAllShape(Iterable<? extends TensorShapeProto>) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
addAllShape(Iterable<? extends Long>) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: repeated int64 shape = 3;
addAllShape(Iterable<? extends Long>) - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder: repeated int64 shape = 2;
addAllShape(Iterable<? extends Long>) - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder: repeated int64 shape = 2;
addAllShape(Iterable<? extends TensorShapeProto>) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder: repeated .tensorflow.TensorShapeProto shape = 1;
addAllSlices(Iterable<? extends TensorSliceProto>) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
addAllSlotVariables(Iterable<? extends CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference>) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Slot variables owned by this object.
addAllSourceFiles(Iterable<? extends DebuggedSourceFile>) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder: A collection of source code files.
addAllStep(Iterable<? extends LabeledStepStats>) - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder: repeated .tensorflow.LabeledStepStats step = 1;
addAllStepSequence(Iterable<? extends StepSequence>) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder: repeated .tensorflow.StepSequence step_sequence = 1;
addAllStringVal(Iterable<? extends ByteString>) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_STRING repeated bytes string_val = 8;
addAllSubdivOffset(Iterable<? extends Integer>) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: repeated int32 subdiv_offset = 9;
addAllTags(Iterable<String>) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
addAllTarget(Iterable<String>) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Target Nodes.
addAllTarget(Iterable<String>) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Target Nodes.
addAllTarget(Iterable<String>) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Target Nodes.
addAllTarget(Iterable<String>) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Target Nodes.
addAllTaskName(Iterable<String>) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: task name prefixes of device_names repeated string task_name = 6;
addAllTasks(Iterable<? extends Inference.InferenceTask>) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Inference tasks.
addAllTensor(Iterable<? extends NamedTensorProto>) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
addAllTensor(Iterable<? extends TensorProto>) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
addAllTensor(Iterable<? extends NamedTensorProto>) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
addAllTensorConnection(Iterable<? extends TensorConnection>) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be connected in the callable.
addAllTensors(Iterable<? extends TensorProto>) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
addAllTensors(Iterable<? extends TensorProto>) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
addAllType(Iterable<? extends DataType>) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
addAllTypeValue(Iterable<Integer>) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
addAllUint32Val(Iterable<? extends Integer>) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
addAllUint64Val(Iterable<? extends Long>) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
addAllValue(Iterable<? extends ByteString>) - 类中的方法org.tensorflow.example.BytesList.Builder: repeated bytes value = 1;
addAllValue(Iterable<? extends Float>) - 类中的方法org.tensorflow.example.FloatList.Builder: repeated float value = 1 [packed = true];
addAllValue(Iterable<? extends Long>) - 类中的方法org.tensorflow.example.Int64List.Builder: repeated int64 value = 1 [packed = true];
addAllValue(Iterable<? extends Any>) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
addAllValue(Iterable<? extends ByteString>) - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder: repeated bytes value = 1;
addAllValue(Iterable<? extends Float>) - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder: repeated float value = 1 [packed = true];
addAllValue(Iterable<? extends Long>) - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder: repeated int64 value = 1 [packed = true];
addAllValue(Iterable<String>) - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder: repeated string value = 1;
addAllValue(Iterable<? extends Summary.Value>) - 类中的方法org.tensorflow.framework.Summary.Builder: Set of values for the summary.
addAllValues(Iterable<String>) - 类中的方法org.tensorflow.framework.ValuesDef.Builder: Value names that have been seen in this context.
addAllVariantVal(Iterable<? extends VariantTensorDataProto>) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
addAllVarOffset(Iterable<? extends Long>) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Offset of this variable into the full variable.
addAllVarShape(Iterable<? extends Long>) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Shape of this variable.
addAllVersions(Iterable<? extends Long>) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder: The version numbers to serve.
addAllVirtualDevices(Iterable<? extends GPUOptions.Experimental.VirtualDevices>) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
addArgOrder(String) - 类中的方法org.tensorflow.framework.ApiDef.Builder: List of original in_arg names to specify new argument order.
addArgOrderBytes(ByteString) - 类中的方法org.tensorflow.framework.ApiDef.Builder: List of original in_arg names to specify new argument order.
addAssetFileDef(AssetFileDef) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
addAssetFileDef(int, AssetFileDef) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
addAssetFileDef(AssetFileDef.Builder) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
addAssetFileDef(int, AssetFileDef.Builder) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
addAssetFileDefBuilder() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
addAssetFileDefBuilder(int) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
addAttr(ApiDef.Attr) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
addAttr(int, ApiDef.Attr) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
addAttr(ApiDef.Attr.Builder) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
addAttr(int, ApiDef.Attr.Builder) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
addAttr(OpDef.AttrDef) - 类中的方法org.tensorflow.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttr(int, OpDef.AttrDef) - 类中的方法org.tensorflow.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttr(OpDef.AttrDef.Builder) - 类中的方法org.tensorflow.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttr(int, OpDef.AttrDef.Builder) - 类中的方法org.tensorflow.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttrBuilder() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
addAttrBuilder(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
addAttrBuilder() - 类中的方法org.tensorflow.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttrBuilder(int) - 类中的方法org.tensorflow.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttributes(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Serialized data specific to this object.
addAttributes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Serialized data specific to this object.
addAttributes(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Serialized data specific to this object.
addAttributes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Serialized data specific to this object.
addAttributesBuilder() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Serialized data specific to this object.
addAttributesBuilder(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Serialized data specific to this object.
addB(boolean) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(bool)" repeated bool b = 5 [packed = true];
addBadConsumers(int) - 类中的方法org.tensorflow.framework.VersionDef.Builder: Specific consumer versions which are disallowed (e.g. due to bugs).
addBoolVal(boolean) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_BOOL repeated bool bool_val = 11 [packed = true];
addBucket(double) - 类中的方法org.tensorflow.framework.HistogramProto.Builder: repeated double bucket = 7 [packed = true];
addBucketLimit(double) - 类中的方法org.tensorflow.framework.HistogramProto.Builder: Parallel arrays encoding the bucket boundaries and the bucket values.
addChildren(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Objects which this object depends on.
addChildren(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Objects which this object depends on.
addChildren(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Objects which this object depends on.
addChildren(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Objects which this object depends on.
addChildrenBuilder() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Objects which this object depends on.
addChildrenBuilder(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Objects which this object depends on.
addClasses(Classification.Class) - 类中的方法tensorflow.serving.Classification.Classifications.Builder: repeated .tensorflow.serving.Class classes = 1;
addClasses(int, Classification.Class) - 类中的方法tensorflow.serving.Classification.Classifications.Builder: repeated .tensorflow.serving.Class classes = 1;
addClasses(Classification.Class.Builder) - 类中的方法tensorflow.serving.Classification.Classifications.Builder: repeated .tensorflow.serving.Class classes = 1;
addClasses(int, Classification.Class.Builder) - 类中的方法tensorflow.serving.Classification.Classifications.Builder: repeated .tensorflow.serving.Class classes = 1;
addClassesBuilder() - 类中的方法tensorflow.serving.Classification.Classifications.Builder: repeated .tensorflow.serving.Class classes = 1;
addClassesBuilder(int) - 类中的方法tensorflow.serving.Classification.Classifications.Builder: repeated .tensorflow.serving.Class classes = 1;
addClassifications(Classification.Classifications) - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder: repeated .tensorflow.serving.Classifications classifications = 1;
addClassifications(int, Classification.Classifications) - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder: repeated .tensorflow.serving.Classifications classifications = 1;
addClassifications(Classification.Classifications.Builder) - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder: repeated .tensorflow.serving.Classifications classifications = 1;
addClassifications(int, Classification.Classifications.Builder) - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder: repeated .tensorflow.serving.Classifications classifications = 1;
addClassificationsBuilder() - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder: repeated .tensorflow.serving.Classifications classifications = 1;
addClassificationsBuilder(int) - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder: repeated .tensorflow.serving.Classifications classifications = 1;
addConfig(ModelServerConfigOuterClass.ModelConfig) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder: repeated .tensorflow.serving.ModelConfig config = 1;
addConfig(int, ModelServerConfigOuterClass.ModelConfig) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder: repeated .tensorflow.serving.ModelConfig config = 1;
addConfig(ModelServerConfigOuterClass.ModelConfig.Builder) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder: repeated .tensorflow.serving.ModelConfig config = 1;
addConfig(int, ModelServerConfigOuterClass.ModelConfig.Builder) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder: repeated .tensorflow.serving.ModelConfig config = 1;
addConfigBuilder() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder: repeated .tensorflow.serving.ModelConfig config = 1;
addConfigBuilder(int) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder: repeated .tensorflow.serving.ModelConfig config = 1;
addConstNodeInfo(GraphTransferConstNodeInfo) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfo(int, GraphTransferConstNodeInfo) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfo(GraphTransferConstNodeInfo.Builder) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfo(int, GraphTransferConstNodeInfo.Builder) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfoBuilder() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfoBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstraint(KernelDef.AttrConstraint) - 类中的方法org.tensorflow.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addConstraint(int, KernelDef.AttrConstraint) - 类中的方法org.tensorflow.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addConstraint(KernelDef.AttrConstraint.Builder) - 类中的方法org.tensorflow.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addConstraint(int, KernelDef.AttrConstraint.Builder) - 类中的方法org.tensorflow.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addConstraintBuilder() - 类中的方法org.tensorflow.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addConstraintBuilder(int) - 类中的方法org.tensorflow.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addContainer(String) - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder: A list of container names.
addContainer(String) - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder: A list of container names, which may be empty.
addContainerBytes(ByteString) - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder: A list of container names.
addContainerBytes(ByteString) - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder: A list of container names, which may be empty.
addControlInput(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Ids of the control inputs for this node.
addControlOpIds(long) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: Control Operation IDs that will be respected when ops are re-ordered by async execution.
addCustomOptimizers(RewriterConfig.CustomGraphOptimizer) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
addCustomOptimizers(int, RewriterConfig.CustomGraphOptimizer) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
addCustomOptimizers(RewriterConfig.CustomGraphOptimizer.Builder) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
addCustomOptimizers(int, RewriterConfig.CustomGraphOptimizer.Builder) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
addCustomOptimizersBuilder() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
addCustomOptimizersBuilder(int) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
addDcomplexVal(double) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
addDebugOps(String) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
addDebugOpsBytes(ByteString) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
addDebugTensorWatchOpts(DebugTensorWatch) - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
addDebugTensorWatchOpts(int, DebugTensorWatch) - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
addDebugTensorWatchOpts(DebugTensorWatch.Builder) - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
addDebugTensorWatchOpts(int, DebugTensorWatch.Builder) - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
addDebugTensorWatchOptsBuilder() - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
addDebugTensorWatchOptsBuilder(int) - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
addDebugUrls(String) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: URL(s) for debug targets(s).
addDebugUrlsBytes(ByteString) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: URL(s) for debug targets(s).
addDefaultGraphInputTensorShape(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
addDefaultGraphInputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
addDefaultGraphInputTensorShape(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
addDefaultGraphInputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
addDefaultGraphInputTensorShapeBuilder() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
addDefaultGraphInputTensorShapeBuilder(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
addDefaultGraphOutputTensorShape(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
addDefaultGraphOutputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
addDefaultGraphOutputTensorShape(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
addDefaultGraphOutputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
addDefaultGraphOutputTensorShapeBuilder() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
addDefaultGraphOutputTensorShapeBuilder(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
addDeviceAttributes(DeviceAttributes) - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
addDeviceAttributes(int, DeviceAttributes) - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
addDeviceAttributes(DeviceAttributes.Builder) - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
addDeviceAttributes(int, DeviceAttributes.Builder) - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
addDeviceAttributes(DeviceAttributes) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder: List of devices that are locally accessible to the worker.
addDeviceAttributes(int, DeviceAttributes) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder: List of devices that are locally accessible to the worker.
addDeviceAttributes(DeviceAttributes.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder: List of devices that are locally accessible to the worker.
addDeviceAttributes(int, DeviceAttributes.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder: List of devices that are locally accessible to the worker.
addDeviceAttributesBuilder() - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
addDeviceAttributesBuilder(int) - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
addDeviceAttributesBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder: List of devices that are locally accessible to the worker.
addDeviceAttributesBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder: List of devices that are locally accessible to the worker.
addDeviceFilters(String) - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder: When any filters are present, only devices that match the filters will be reset.
addDeviceFilters(String) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
addDeviceFiltersBytes(ByteString) - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder: When any filters are present, only devices that match the filters will be reset.
addDeviceFiltersBytes(ByteString) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
addDeviceName(String) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder: repeated string device_name = 4;
addDeviceName(String) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: repeated string device_name = 5;
addDeviceNameBytes(ByteString) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder: repeated string device_name = 4;
addDeviceNameBytes(ByteString) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: repeated string device_name = 5;
addDevicePersistentTensorAllocIds(long) - 类中的方法org.tensorflow.framework.MemoryStats.Builder: 已过时。
addDevStats(DeviceStepStats) - 类中的方法org.tensorflow.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDevStats(int, DeviceStepStats) - 类中的方法org.tensorflow.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDevStats(DeviceStepStats.Builder) - 类中的方法org.tensorflow.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDevStats(int, DeviceStepStats.Builder) - 类中的方法org.tensorflow.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDevStatsBuilder() - 类中的方法org.tensorflow.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDevStatsBuilder(int) - 类中的方法org.tensorflow.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDim(TensorShapeProto.Dim) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDim(int, TensorShapeProto.Dim) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDim(TensorShapeProto.Dim.Builder) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDim(int, TensorShapeProto.Dim.Builder) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDimBuilder() - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDimBuilder(int) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDoubleVal(double) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_DOUBLE.
addEnableOp(String) - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
addEnableOpBytes(ByteString) - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
addEndpoint(ApiDef.Endpoint) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEndpoint(int, ApiDef.Endpoint) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEndpoint(ApiDef.Endpoint.Builder) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEndpoint(int, ApiDef.Endpoint.Builder) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEndpointBuilder() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEndpointBuilder(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEnqueueOpName(String) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: A list of enqueue operations.
addEnqueueOpNameBytes(ByteString) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: A list of enqueue operations.
addExamples(Example) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder: repeated .tensorflow.Example examples = 1;
addExamples(int, Example) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder: repeated .tensorflow.Example examples = 1;
addExamples(Example.Builder) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder: repeated .tensorflow.Example examples = 1;
addExamples(int, Example.Builder) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder: repeated .tensorflow.Example examples = 1;
addExamples(Example) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: repeated .tensorflow.Example examples = 1;
addExamples(int, Example) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: repeated .tensorflow.Example examples = 1;
addExamples(Example.Builder) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: repeated .tensorflow.Example examples = 1;
addExamples(int, Example.Builder) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: repeated .tensorflow.Example examples = 1;
addExamples(ByteString) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder: repeated bytes examples = 1;
addExamples(ByteString) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder: repeated bytes examples = 1;
addExamplesBuilder() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder: repeated .tensorflow.Example examples = 1;
addExamplesBuilder(int) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder: repeated .tensorflow.Example examples = 1;
addExamplesBuilder() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: repeated .tensorflow.Example examples = 1;
addExamplesBuilder(int) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: repeated .tensorflow.Example examples = 1;
addExtent(TensorSliceProto.Extent) - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
addExtent(int, TensorSliceProto.Extent) - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
addExtent(TensorSliceProto.Extent.Builder) - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
addExtent(int, TensorSliceProto.Extent.Builder) - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
addExtentBuilder() - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
addExtentBuilder(int) - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
addF(float) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(float)" repeated float f = 4 [packed = true];
addFeature(Feature) - 类中的方法org.tensorflow.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
addFeature(int, Feature) - 类中的方法org.tensorflow.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
addFeature(Feature.Builder) - 类中的方法org.tensorflow.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
addFeature(int, Feature.Builder) - 类中的方法org.tensorflow.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
addFeatureBuilder() - 类中的方法org.tensorflow.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
addFeatureBuilder(int) - 类中的方法org.tensorflow.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
addFeed(String) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Tensors to be fed in future steps.
addFeed(TensorProto) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
addFeed(int, TensorProto) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
addFeed(TensorProto.Builder) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
addFeed(int, TensorProto.Builder) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
addFeed(NamedTensorProto) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Tensors to be fed in the step.
addFeed(int, NamedTensorProto) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Tensors to be fed in the step.
addFeed(NamedTensorProto.Builder) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Tensors to be fed in the step.
addFeed(int, NamedTensorProto.Builder) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Tensors to be fed in the step.
addFeed(String) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be fed in the callable.
addFeed(NamedTensorProto) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Tensors to be fed in the step.
addFeed(int, NamedTensorProto) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Tensors to be fed in the step.
addFeed(NamedTensorProto.Builder) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Tensors to be fed in the step.
addFeed(int, NamedTensorProto.Builder) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Tensors to be fed in the step.
addFeedBuilder() - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
addFeedBuilder(int) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
addFeedBuilder() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Tensors to be fed in the step.
addFeedBuilder(int) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Tensors to be fed in the step.
addFeedBuilder() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Tensors to be fed in the step.
addFeedBuilder(int) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Tensors to be fed in the step.
addFeedBytes(ByteString) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Tensors to be fed in future steps.
addFeedBytes(ByteString) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be fed in the callable.
addFetch(String) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Fetches.
addFetch(TensorProto) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
addFetch(int, TensorProto) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
addFetch(TensorProto.Builder) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
addFetch(int, TensorProto.Builder) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
addFetch(String) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Fetches.
addFetch(String) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Fetches.
addFetch(String) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Fetches.
addFetchBuilder() - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
addFetchBuilder(int) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
addFetchBytes(ByteString) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Fetches.
addFetchBytes(ByteString) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Fetches.
addFetchBytes(ByteString) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Fetches.
addFetchBytes(ByteString) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Fetches.
addFetchStepId(long) - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder: When set, requests all saved log data pertaining to the step.
addFloatVal(float) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_FLOAT.
addFullShape(long) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Shape of the full variable.
addFunc(NameAttrList) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
addFunc(int, NameAttrList) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
addFunc(NameAttrList.Builder) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
addFunc(int, NameAttrList.Builder) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
addFuncBuilder() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
addFuncBuilder(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
addFunction(FunctionDef) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
addFunction(int, FunctionDef) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
addFunction(FunctionDef.Builder) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
addFunction(int, FunctionDef.Builder) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
addFunctionBuilder() - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
addFunctionBuilder(int) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
addGradient(GradientDef) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
addGradient(int, GradientDef) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
addGradient(GradientDef.Builder) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
addGradient(int, GradientDef.Builder) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
addGradientBuilder() - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
addGradientBuilder(int) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
addGraphInputNodeInfo(GraphTransferGraphInputNodeInfo) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
addGraphInputNodeInfo(int, GraphTransferGraphInputNodeInfo) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
addGraphInputNodeInfo(GraphTransferGraphInputNodeInfo.Builder) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
addGraphInputNodeInfo(int, GraphTransferGraphInputNodeInfo.Builder) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
addGraphInputNodeInfoBuilder() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
addGraphInputNodeInfoBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
addGraphInputNodeName(String) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Remote fused graph input node name repeated string graph_input_node_name = 2;
addGraphInputNodeNameBytes(ByteString) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Remote fused graph input node name repeated string graph_input_node_name = 2;
addGraphKey(long) - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder: repeated int64 graph_key = 1;
addGraphOutputNodeInfo(GraphTransferGraphOutputNodeInfo) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfo(int, GraphTransferGraphOutputNodeInfo) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfo(GraphTransferGraphOutputNodeInfo.Builder) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfo(int, GraphTransferGraphOutputNodeInfo.Builder) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfoBuilder() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfoBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeName(String) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Remote fused graph output node name repeated string graph_output_node_name = 3;
addGraphOutputNodeNameBytes(ByteString) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Remote fused graph output node name repeated string graph_output_node_name = 3;
addHalfVal(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_HALF, DT_BFLOAT16.
addHostMemoryArg(String) - 类中的方法org.tensorflow.framework.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
addHostMemoryArgBytes(ByteString) - 类中的方法org.tensorflow.framework.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
addI(long) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(int)" repeated int64 i = 3 [packed = true];
addInArg(ApiDef.Arg) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInArg(int, ApiDef.Arg) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInArg(ApiDef.Arg.Builder) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInArg(int, ApiDef.Arg.Builder) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInArgBuilder() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInArgBuilder(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInput(String) - 类中的方法org.tensorflow.framework.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
addInputArg(OpDef.ArgDef) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the input(s).
addInputArg(int, OpDef.ArgDef) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the input(s).
addInputArg(OpDef.ArgDef.Builder) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the input(s).
addInputArg(int, OpDef.ArgDef.Builder) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the input(s).
addInputArgBuilder() - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the input(s).
addInputArgBuilder(int) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the input(s).
addInputBytes(ByteString) - 类中的方法org.tensorflow.framework.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
addInputInfo(CostGraphDef.Node.InputInfo) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputInfo(int, CostGraphDef.Node.InputInfo) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputInfo(CostGraphDef.Node.InputInfo.Builder) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputInfo(int, CostGraphDef.Node.InputInfo.Builder) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputInfoBuilder() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputInfoBuilder(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputs(EagerServiceOuterClass.RemoteTensorHandle) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
addInputs(int, EagerServiceOuterClass.RemoteTensorHandle) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
addInputs(EagerServiceOuterClass.RemoteTensorHandle.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
addInputs(int, EagerServiceOuterClass.RemoteTensorHandle.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
addInputsBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
addInputsBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
addInt64Val(long) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_INT64 repeated int64 int64_val = 10 [packed = true];
addIntVal(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
addJob(JobDef) - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
addJob(int, JobDef) - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
addJob(JobDef.Builder) - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
addJob(int, JobDef.Builder) - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
addJobBuilder() - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
addJobBuilder(int) - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
addKernel(KernelDef) - 类中的方法org.tensorflow.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
addKernel(int, KernelDef) - 类中的方法org.tensorflow.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
addKernel(KernelDef.Builder) - 类中的方法org.tensorflow.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
addKernel(int, KernelDef.Builder) - 类中的方法org.tensorflow.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
addKernelBuilder() - 类中的方法org.tensorflow.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
addKernelBuilder(int) - 类中的方法org.tensorflow.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
addKeys(String) - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder: Keys for tensors in the VariantTensorDataProto.
addKeysBytes(ByteString) - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder: Keys for tensors in the VariantTensorDataProto.
addLines(String) - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
addLinesBytes(ByteString) - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
addLink(InterconnectLink) - 类中的方法org.tensorflow.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
addLink(int, InterconnectLink) - 类中的方法org.tensorflow.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
addLink(InterconnectLink.Builder) - 类中的方法org.tensorflow.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
addLink(int, InterconnectLink.Builder) - 类中的方法org.tensorflow.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
addLinkBuilder() - 类中的方法org.tensorflow.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
addLinkBuilder(int) - 类中的方法org.tensorflow.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
addLocalDevice(DeviceAttributes) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes local_device = 1;
addLocalDevice(int, DeviceAttributes) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes local_device = 1;
addLocalDevice(DeviceAttributes.Builder) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes local_device = 1;
addLocalDevice(int, DeviceAttributes.Builder) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes local_device = 1;
addLocalDeviceBuilder() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes local_device = 1;
addLocalDeviceBuilder(int) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes local_device = 1;
addLoopEnterNames(String) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: List of names for enter tensors.
addLoopEnterNamesBytes(ByteString) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: List of names for enter tensors.
addLoopExitNames(String) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: List of names for exit tensors.
addLoopExitNamesBytes(ByteString) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: List of names for exit tensors.
addMaxByteSize(int) - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder: repeated int32 max_byte_size = 2;
addMemory(AllocatorMemoryUsed) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemory(int, AllocatorMemoryUsed) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemory(AllocatorMemoryUsed.Builder) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemory(int, AllocatorMemoryUsed.Builder) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemoryBuilder() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemoryBuilder(int) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemoryLimitMb(float) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder: Per "virtual" device memory limit, in MB.
addMetadataField(String) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder: Metadata fields to get.
addMetadataFieldBytes(ByteString) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder: Metadata fields to get.
addMetaGraphs(MetaGraphDef) - 类中的方法org.tensorflow.framework.SavedModel.Builder: One or more MetaGraphs.
addMetaGraphs(int, MetaGraphDef) - 类中的方法org.tensorflow.framework.SavedModel.Builder: One or more MetaGraphs.
addMetaGraphs(MetaGraphDef.Builder) - 类中的方法org.tensorflow.framework.SavedModel.Builder: One or more MetaGraphs.
addMetaGraphs(int, MetaGraphDef.Builder) - 类中的方法org.tensorflow.framework.SavedModel.Builder: One or more MetaGraphs.
addMetaGraphsBuilder() - 类中的方法org.tensorflow.framework.SavedModel.Builder: One or more MetaGraphs.
addMetaGraphsBuilder(int) - 类中的方法org.tensorflow.framework.SavedModel.Builder: One or more MetaGraphs.
addModelVersionStatus(GetModelStatus.ModelVersionStatus) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder: Version number and status information for applicable model version(s).
addModelVersionStatus(int, GetModelStatus.ModelVersionStatus) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder: Version number and status information for applicable model version(s).
addModelVersionStatus(GetModelStatus.ModelVersionStatus.Builder) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder: Version number and status information for applicable model version(s).
addModelVersionStatus(int, GetModelStatus.ModelVersionStatus.Builder) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder: Version number and status information for applicable model version(s).
addModelVersionStatusBuilder() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder: Version number and status information for applicable model version(s).
addModelVersionStatusBuilder(int) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder: Version number and status information for applicable model version(s).
addNestedContexts(ControlFlowContextDef) - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
addNestedContexts(int, ControlFlowContextDef) - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
addNestedContexts(ControlFlowContextDef.Builder) - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
addNestedContexts(int, ControlFlowContextDef.Builder) - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
addNestedContexts(ControlFlowContextDef) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
addNestedContexts(int, ControlFlowContextDef) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
addNestedContexts(ControlFlowContextDef.Builder) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
addNestedContexts(int, ControlFlowContextDef.Builder) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
addNestedContextsBuilder() - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
addNestedContextsBuilder(int) - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
addNestedContextsBuilder() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
addNestedContextsBuilder(int) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
addNode(CostGraphDef.Node) - 类中的方法org.tensorflow.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
addNode(int, CostGraphDef.Node) - 类中的方法org.tensorflow.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
addNode(CostGraphDef.Node.Builder) - 类中的方法org.tensorflow.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
addNode(int, CostGraphDef.Node.Builder) - 类中的方法org.tensorflow.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
addNode(NodeDef) - 类中的方法org.tensorflow.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
addNode(int, NodeDef) - 类中的方法org.tensorflow.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
addNode(NodeDef.Builder) - 类中的方法org.tensorflow.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
addNode(int, NodeDef.Builder) - 类中的方法org.tensorflow.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
addNodeBuilder() - 类中的方法org.tensorflow.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
addNodeBuilder(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
addNodeBuilder() - 类中的方法org.tensorflow.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
addNodeBuilder(int) - 类中的方法org.tensorflow.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
addNodeDef(NodeDef) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeDef(int, NodeDef) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeDef(NodeDef.Builder) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeDef(int, NodeDef.Builder) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeDefBuilder() - 类中的方法org.tensorflow.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeDefBuilder(int) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeInfo(GraphTransferNodeInfo) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfo(int, GraphTransferNodeInfo) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfo(GraphTransferNodeInfo.Builder) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfo(int, GraphTransferNodeInfo.Builder) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfoBuilder() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfoBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInput(GraphTransferNodeInput) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInput(int, GraphTransferNodeInput) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInput(GraphTransferNodeInput.Builder) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInput(int, GraphTransferNodeInput.Builder) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInputBuilder() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInputBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInputInfo(GraphTransferNodeInputInfo) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfo(int, GraphTransferNodeInputInfo) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfo(GraphTransferNodeInputInfo.Builder) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfo(int, GraphTransferNodeInputInfo.Builder) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfoBuilder() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfoBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeOutputInfo(GraphTransferNodeOutputInfo) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfo(int, GraphTransferNodeOutputInfo) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfo(GraphTransferNodeOutputInfo.Builder) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfo(int, GraphTransferNodeOutputInfo.Builder) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfoBuilder() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfoBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodes(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
addNodes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
addNodes(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
addNodes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
addNodesBuilder() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
addNodesBuilder(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
addNodeStats(NodeExecStats) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
addNodeStats(int, NodeExecStats) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
addNodeStats(NodeExecStats.Builder) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
addNodeStats(int, NodeExecStats.Builder) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
addNodeStatsBuilder() - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
addNodeStatsBuilder(int) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
addOp(ApiDef) - 类中的方法org.tensorflow.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
addOp(int, ApiDef) - 类中的方法org.tensorflow.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
addOp(ApiDef.Builder) - 类中的方法org.tensorflow.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
addOp(int, ApiDef.Builder) - 类中的方法org.tensorflow.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
addOp(OpDef) - 类中的方法org.tensorflow.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
addOp(int, OpDef) - 类中的方法org.tensorflow.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
addOp(OpDef.Builder) - 类中的方法org.tensorflow.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
addOp(int, OpDef.Builder) - 类中的方法org.tensorflow.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
addOpBuilder() - 类中的方法org.tensorflow.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
addOpBuilder(int) - 类中的方法org.tensorflow.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
addOpBuilder() - 类中的方法org.tensorflow.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
addOpBuilder(int) - 类中的方法org.tensorflow.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
addOpId(long) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder: Ids to wait on.
addOptimizers(String) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
addOptimizersBytes(ByteString) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
addOutArg(ApiDef.Arg) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutArg(int, ApiDef.Arg) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutArg(ApiDef.Arg.Builder) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutArg(int, ApiDef.Arg.Builder) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutArgBuilder() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutArgBuilder(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutput(NodeOutput) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
addOutput(int, NodeOutput) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
addOutput(NodeOutput.Builder) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
addOutput(int, NodeOutput.Builder) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
addOutputArg(OpDef.ArgDef) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the output(s).
addOutputArg(int, OpDef.ArgDef) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the output(s).
addOutputArg(OpDef.ArgDef.Builder) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the output(s).
addOutputArg(int, OpDef.ArgDef.Builder) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the output(s).
addOutputArgBuilder() - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the output(s).
addOutputArgBuilder(int) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the output(s).
addOutputBuilder() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
addOutputBuilder(int) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
addOutputFilter(String) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Output filter.
addOutputFilterBytes(ByteString) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Output filter.
addOutputInfo(CostGraphDef.Node.OutputInfo) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputInfo(int, CostGraphDef.Node.OutputInfo) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputInfo(CostGraphDef.Node.OutputInfo.Builder) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputInfo(int, CostGraphDef.Node.OutputInfo.Builder) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputInfoBuilder() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputInfoBuilder(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addPartitionGraph(GraphDef) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: repeated .tensorflow.GraphDef partition_graph = 4;
addPartitionGraph(int, GraphDef) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: repeated .tensorflow.GraphDef partition_graph = 4;
addPartitionGraph(GraphDef.Builder) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: repeated .tensorflow.GraphDef partition_graph = 4;
addPartitionGraph(int, GraphDef.Builder) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: repeated .tensorflow.GraphDef partition_graph = 4;
addPartitionGraphBuilder() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: repeated .tensorflow.GraphDef partition_graph = 4;
addPartitionGraphBuilder(int) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: repeated .tensorflow.GraphDef partition_graph = 4;
addPartitionGraphs(GraphDef) - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
addPartitionGraphs(int, GraphDef) - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
addPartitionGraphs(GraphDef.Builder) - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
addPartitionGraphs(int, GraphDef.Builder) - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
addPartitionGraphsBuilder() - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
addPartitionGraphsBuilder(int) - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
addPersistentTensorAllocIds(long) - 类中的方法org.tensorflow.framework.MemoryStats.Builder: repeated int64 persistent_tensor_alloc_ids = 5;
addQueue(EagerServiceOuterClass.QueueItem) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder: repeated .tensorflow.eager.QueueItem queue = 3;
addQueue(int, EagerServiceOuterClass.QueueItem) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder: repeated .tensorflow.eager.QueueItem queue = 3;
addQueue(EagerServiceOuterClass.QueueItem.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder: repeated .tensorflow.eager.QueueItem queue = 3;
addQueue(int, EagerServiceOuterClass.QueueItem.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder: repeated .tensorflow.eager.QueueItem queue = 3;
addQueueBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder: repeated .tensorflow.eager.QueueItem queue = 3;
addQueueBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder: repeated .tensorflow.eager.QueueItem queue = 3;
addQueueClosedExceptionTypes(Code) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
addQueueClosedExceptionTypesValue(int) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
addQueueResponse(EagerServiceOuterClass.QueueResponse) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder: A single operation response for every item in the request.
addQueueResponse(int, EagerServiceOuterClass.QueueResponse) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder: A single operation response for every item in the request.
addQueueResponse(EagerServiceOuterClass.QueueResponse.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder: A single operation response for every item in the request.
addQueueResponse(int, EagerServiceOuterClass.QueueResponse.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder: A single operation response for every item in the request.
addQueueResponseBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder: A single operation response for every item in the request.
addQueueResponseBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder: A single operation response for every item in the request.
addRecv(NamedTensorProto) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
addRecv(int, NamedTensorProto) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
addRecv(NamedTensorProto.Builder) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
addRecv(int, NamedTensorProto.Builder) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
addRecvBuilder() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
addRecvBuilder(int) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
addRecvKey(String) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: repeated string recv_key = 4;
addRecvKeyBytes(ByteString) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: repeated string recv_key = 4;
addReferencedTensor(AllocationDescription) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addReferencedTensor(int, AllocationDescription) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addReferencedTensor(AllocationDescription.Builder) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addReferencedTensor(int, AllocationDescription.Builder) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addReferencedTensorBuilder() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addReferencedTensorBuilder(int) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addRegressions(RegressionOuterClass.Regression) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder: repeated .tensorflow.serving.Regression regressions = 1;
addRegressions(int, RegressionOuterClass.Regression) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder: repeated .tensorflow.serving.Regression regressions = 1;
addRegressions(RegressionOuterClass.Regression.Builder) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder: repeated .tensorflow.serving.Regression regressions = 1;
addRegressions(int, RegressionOuterClass.Regression.Builder) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder: repeated .tensorflow.serving.Regression regressions = 1;
addRegressionsBuilder() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder: repeated .tensorflow.serving.Regression regressions = 1;
addRegressionsBuilder(int) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder: repeated .tensorflow.serving.Regression regressions = 1;
addRemoteDevice(DeviceAttributes) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes remote_device = 2;
addRemoteDevice(int, DeviceAttributes) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes remote_device = 2;
addRemoteDevice(DeviceAttributes.Builder) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes remote_device = 2;
addRemoteDevice(int, DeviceAttributes.Builder) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes remote_device = 2;
addRemoteDeviceBuilder() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes remote_device = 2;
addRemoteDeviceBuilder(int) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes remote_device = 2;
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CleanupAllResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CloseSessionResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.GetStatusRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.JobDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.ResetResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.ServerDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.StepSequence.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.TracingResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.BytesList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.Example.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.Feature.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.FeatureList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.FeatureLists.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.Features.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.FloatList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.Int64List.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.SequenceExample.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.AllocationDescription.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.AllocationRecord.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ApiDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ApiDefs.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.AssetFileDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.AttrValue.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CallableOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CollectionDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CondContextDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ConfigProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CostGraphDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.DebugOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.DeviceLocality.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.FunctionDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GPUOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GradientDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GraphDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GraphOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.HistogramProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.InterconnectLink.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.KernelDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.KernelList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.LocalLinks.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.MemoryStats.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.NameAttrList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.NodeDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.NodeOutput.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.OpDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.OpDeprecation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.OpList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.RPCOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.RunMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.RunOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.RunOptions.Experimental.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.SavedModel.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.SignatureDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.StepStats.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.Summary.Audio.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.Summary.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.Summary.Image.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.Summary.Value.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.SummaryDescription.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.TensorConnection.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.TensorDescription.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.TensorInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.TensorProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ValuesDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.VariableDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.VersionDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.util.SaverDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Classification.Class.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Classification.Classifications.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Model.ModelSpec.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Status.StatusProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder
addResourceHandleVal(ResourceHandleProto) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
addResourceHandleVal(int, ResourceHandleProto) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
addResourceHandleVal(ResourceHandleProto.Builder) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
addResourceHandleVal(int, ResourceHandleProto.Builder) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
addResourceHandleValBuilder() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
addResourceHandleValBuilder(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
addResults(Inference.InferenceResult) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
addResults(int, Inference.InferenceResult) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
addResults(Inference.InferenceResult.Builder) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
addResults(int, Inference.InferenceResult.Builder) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
addResultsBuilder() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
addResultsBuilder(int) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
addS(ByteString) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(string)" repeated bytes s = 2;
addScomplexVal(float) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
addSend(NamedTensorProto) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Runs the graph.
addSend(int, NamedTensorProto) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Runs the graph.
addSend(NamedTensorProto.Builder) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Runs the graph.
addSend(int, NamedTensorProto.Builder) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Runs the graph.
addSendBuilder() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Runs the graph.
addSendBuilder(int) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Runs the graph.
addServables(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: The servables to monitor for new versions, and aspire.
addServables(int, FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: The servables to monitor for new versions, and aspire.
addServables(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: The servables to monitor for new versions, and aspire.
addServables(int, FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: The servables to monitor for new versions, and aspire.
addServablesBuilder() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: The servables to monitor for new versions, and aspire.
addServablesBuilder(int) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: The servables to monitor for new versions, and aspire.
addSessionInterOpThreadPool(ThreadPoolOptionProto) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPool(int, ThreadPoolOptionProto) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPool(ThreadPoolOptionProto.Builder) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPool(int, ThreadPoolOptionProto.Builder) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPoolBuilder() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPoolBuilder(int) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
addShape(TensorShapeProto) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
addShape(int, TensorShapeProto) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
addShape(TensorShapeProto.Builder) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
addShape(int, TensorShapeProto.Builder) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
addShape(long) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: repeated int64 shape = 3;
addShape(long) - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder: repeated int64 shape = 2;
addShape(long) - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder: repeated int64 shape = 2;
addShape(TensorShapeProto) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder: repeated .tensorflow.TensorShapeProto shape = 1;
addShape(int, TensorShapeProto) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder: repeated .tensorflow.TensorShapeProto shape = 1;
addShape(TensorShapeProto.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder: repeated .tensorflow.TensorShapeProto shape = 1;
addShape(int, TensorShapeProto.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder: repeated .tensorflow.TensorShapeProto shape = 1;
addShapeBuilder() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
addShapeBuilder(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
addShapeBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder: repeated .tensorflow.TensorShapeProto shape = 1;
addShapeBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder: repeated .tensorflow.TensorShapeProto shape = 1;
addSlices(TensorSliceProto) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
addSlices(int, TensorSliceProto) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
addSlices(TensorSliceProto.Builder) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
addSlices(int, TensorSliceProto.Builder) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
addSlicesBuilder() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
addSlicesBuilder(int) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
addSlotVariables(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Slot variables owned by this object.
addSlotVariables(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Slot variables owned by this object.
addSlotVariables(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Slot variables owned by this object.
addSlotVariables(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Slot variables owned by this object.
addSlotVariablesBuilder() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Slot variables owned by this object.
addSlotVariablesBuilder(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Slot variables owned by this object.
addSourceFiles(DebuggedSourceFile) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder: A collection of source code files.
addSourceFiles(int, DebuggedSourceFile) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder: A collection of source code files.
addSourceFiles(DebuggedSourceFile.Builder) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder: A collection of source code files.
addSourceFiles(int, DebuggedSourceFile.Builder) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder: A collection of source code files.
addSourceFilesBuilder() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder: A collection of source code files.
addSourceFilesBuilder(int) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder: A collection of source code files.
addStep(LabeledStepStats) - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder: repeated .tensorflow.LabeledStepStats step = 1;
addStep(int, LabeledStepStats) - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder: repeated .tensorflow.LabeledStepStats step = 1;
addStep(LabeledStepStats.Builder) - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder: repeated .tensorflow.LabeledStepStats step = 1;
addStep(int, LabeledStepStats.Builder) - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder: repeated .tensorflow.LabeledStepStats step = 1;
addStepBuilder() - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder: repeated .tensorflow.LabeledStepStats step = 1;
addStepBuilder(int) - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder: repeated .tensorflow.LabeledStepStats step = 1;
addStepSequence(StepSequence) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder: repeated .tensorflow.StepSequence step_sequence = 1;
addStepSequence(int, StepSequence) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder: repeated .tensorflow.StepSequence step_sequence = 1;
addStepSequence(StepSequence.Builder) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder: repeated .tensorflow.StepSequence step_sequence = 1;
addStepSequence(int, StepSequence.Builder) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder: repeated .tensorflow.StepSequence step_sequence = 1;
addStepSequenceBuilder() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder: repeated .tensorflow.StepSequence step_sequence = 1;
addStepSequenceBuilder(int) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder: repeated .tensorflow.StepSequence step_sequence = 1;
addStringVal(ByteString) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_STRING repeated bytes string_val = 8;
addSubdivOffset(int) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: repeated int32 subdiv_offset = 9;
addTags(String) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
addTagsBytes(ByteString) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
addTarget(String) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Target Nodes.
addTarget(String) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Target Nodes.
addTarget(String) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Target Nodes.
addTarget(String) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Target Nodes.
addTargetBytes(ByteString) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Target Nodes.
addTargetBytes(ByteString) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Target Nodes.
addTargetBytes(ByteString) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Target Nodes.
addTargetBytes(ByteString) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Target Nodes.
addTaskName(String) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: task name prefixes of device_names repeated string task_name = 6;
addTaskNameBytes(ByteString) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: task name prefixes of device_names repeated string task_name = 6;
addTasks(Inference.InferenceTask) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Inference tasks.
addTasks(int, Inference.InferenceTask) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Inference tasks.
addTasks(Inference.InferenceTask.Builder) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Inference tasks.
addTasks(int, Inference.InferenceTask.Builder) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Inference tasks.
addTasksBuilder() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Inference tasks.
addTasksBuilder(int) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Inference tasks.
addTensor(NamedTensorProto) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
addTensor(int, NamedTensorProto) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
addTensor(NamedTensorProto.Builder) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
addTensor(int, NamedTensorProto.Builder) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
addTensor(TensorProto) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
addTensor(int, TensorProto) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
addTensor(TensorProto.Builder) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
addTensor(int, TensorProto.Builder) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
addTensor(NamedTensorProto) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
addTensor(int, NamedTensorProto) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
addTensor(NamedTensorProto.Builder) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
addTensor(int, NamedTensorProto.Builder) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
addTensorBuilder() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
addTensorBuilder(int) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
addTensorBuilder() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
addTensorBuilder(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
addTensorBuilder() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
addTensorBuilder(int) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
addTensorConnection(TensorConnection) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be connected in the callable.
addTensorConnection(int, TensorConnection) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be connected in the callable.
addTensorConnection(TensorConnection.Builder) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be connected in the callable.
addTensorConnection(int, TensorConnection.Builder) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be connected in the callable.
addTensorConnectionBuilder() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be connected in the callable.
addTensorConnectionBuilder(int) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be connected in the callable.
addTensors(TensorProto) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
addTensors(int, TensorProto) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
addTensors(TensorProto.Builder) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
addTensors(int, TensorProto.Builder) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
addTensors(TensorProto) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
addTensors(int, TensorProto) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
addTensors(TensorProto.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
addTensors(int, TensorProto.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
addTensorsBuilder() - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
addTensorsBuilder(int) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
addTensorsBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
addTensorsBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
addType(DataType) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
addTypeValue(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
addUint32Val(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
addUint64Val(long) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
addValue(ByteString) - 类中的方法org.tensorflow.example.BytesList.Builder: repeated bytes value = 1;
addValue(float) - 类中的方法org.tensorflow.example.FloatList.Builder: repeated float value = 1 [packed = true];
addValue(long) - 类中的方法org.tensorflow.example.Int64List.Builder: repeated int64 value = 1 [packed = true];
addValue(Any) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
addValue(int, Any) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
addValue(Any.Builder) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
addValue(int, Any.Builder) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
addValue(ByteString) - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder: repeated bytes value = 1;
addValue(float) - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder: repeated float value = 1 [packed = true];
addValue(long) - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder: repeated int64 value = 1 [packed = true];
addValue(String) - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder: repeated string value = 1;
addValue(Summary.Value) - 类中的方法org.tensorflow.framework.Summary.Builder: Set of values for the summary.
addValue(int, Summary.Value) - 类中的方法org.tensorflow.framework.Summary.Builder: Set of values for the summary.
addValue(Summary.Value.Builder) - 类中的方法org.tensorflow.framework.Summary.Builder: Set of values for the summary.
addValue(int, Summary.Value.Builder) - 类中的方法org.tensorflow.framework.Summary.Builder: Set of values for the summary.
addValueBuilder() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
addValueBuilder(int) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
addValueBuilder() - 类中的方法org.tensorflow.framework.Summary.Builder: Set of values for the summary.
addValueBuilder(int) - 类中的方法org.tensorflow.framework.Summary.Builder: Set of values for the summary.
addValueBytes(ByteString) - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder: repeated string value = 1;
addValues(String) - 类中的方法org.tensorflow.framework.ValuesDef.Builder: Value names that have been seen in this context.
addValuesBytes(ByteString) - 类中的方法org.tensorflow.framework.ValuesDef.Builder: Value names that have been seen in this context.
addVariantVal(VariantTensorDataProto) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
addVariantVal(int, VariantTensorDataProto) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
addVariantVal(VariantTensorDataProto.Builder) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
addVariantVal(int, VariantTensorDataProto.Builder) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
addVariantValBuilder() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
addVariantValBuilder(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
addVarOffset(long) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Offset of this variable into the full variable.
addVarShape(long) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Shape of this variable.
addVersions(long) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder: The version numbers to serve.
addVirtualDevices(GPUOptions.Experimental.VirtualDevices) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
addVirtualDevices(int, GPUOptions.Experimental.VirtualDevices) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
addVirtualDevices(GPUOptions.Experimental.VirtualDevices.Builder) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
addVirtualDevices(int, GPUOptions.Experimental.VirtualDevices.Builder) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
addVirtualDevicesBuilder() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
addVirtualDevicesBuilder(int) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
AGGRESSIVE_VALUE - 枚举中的静态变量org.tensorflow.framework.RewriterConfig.Toggle: Enable some aggressive optimizations that use assumptions that TF graphs may break.
ALIAS_INPUT_PORT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef.Node.OutputInfo
ALL_END_REL_MICROS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeExecStats
ALL_END_REL_NANOS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeExecStats
ALL_FIELD_NUMBER - 类中的静态变量tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
ALL_START_MICROS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeExecStats
ALL_START_NANOS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeExecStats
ALLOC_BYTES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AllocationRecord
ALLOC_MICROS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AllocationRecord
ALLOCATED_BYTES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AllocationDescription
ALLOCATION_DESCRIPTION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorDescription
ALLOCATION_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AllocationDescription
ALLOCATION_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryLogRawAllocation
ALLOCATION_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryLogRawDeallocation
ALLOCATION_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryLogTensorDeallocation
ALLOCATION_RECORDS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AllocatorMemoryUsed
AllocationDescription - org.tensorflow.framework中的类: Protobuf type tensorflow.AllocationDescription
AllocationDescription.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.AllocationDescription
AllocationDescriptionOrBuilder - org.tensorflow.framework中的接口
AllocationDescriptionProtos - org.tensorflow.framework中的类
AllocationRecord - org.tensorflow.framework中的类: An allocation/de-allocation operation performed by the allocator.
AllocationRecord.Builder - org.tensorflow.framework中的类: An allocation/de-allocation operation performed by the allocator.
AllocationRecordOrBuilder - org.tensorflow.framework中的接口
ALLOCATOR_BYTES_IN_USE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AllocatorMemoryUsed
ALLOCATOR_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AllocationDescription
ALLOCATOR_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AllocatorMemoryUsed
ALLOCATOR_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryLogRawAllocation
ALLOCATOR_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryLogRawDeallocation
ALLOCATOR_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryLogTensorDeallocation
ALLOCATOR_TYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GPUOptions
AllocatorMemoryUsed - org.tensorflow.framework中的类: Protobuf type tensorflow.AllocatorMemoryUsed
AllocatorMemoryUsed.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.AllocatorMemoryUsed
AllocatorMemoryUsedOrBuilder - org.tensorflow.framework中的接口
ALLOW_GROWTH_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GPUOptions
ALLOW_SOFT_PLACEMENT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ConfigProto
ALLOWED_VALUES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.KernelDef.AttrConstraint
ALLOWED_VALUES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef.AttrDef
ALLOWS_UNINITIALIZED_INPUT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef
ALREADY_EXISTS_VALUE - 枚举中的静态变量org.tensorflow.framework.Code: Some entity that we attempted to create (e.g., file or directory) already exists.
ANY_INFO_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MetaGraphDef.MetaInfoDef
ANY_LIST_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CollectionDef
ApiDef - org.tensorflow.framework中的类: Used to specify and override the default API & behavior in the generated code for client languages, from what you would get from the OpDef alone.
ApiDef.Arg - org.tensorflow.framework中的类: Protobuf type tensorflow.ApiDef.Arg
ApiDef.Arg.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.ApiDef.Arg
ApiDef.ArgOrBuilder - org.tensorflow.framework中的接口
ApiDef.Attr - org.tensorflow.framework中的类: Description of the graph-construction-time configuration of this Op.
ApiDef.Attr.Builder - org.tensorflow.framework中的类: Description of the graph-construction-time configuration of this Op.
ApiDef.AttrOrBuilder - org.tensorflow.framework中的接口
ApiDef.Builder - org.tensorflow.framework中的类: Used to specify and override the default API & behavior in the generated code for client languages, from what you would get from the OpDef alone.
ApiDef.Endpoint - org.tensorflow.framework中的类: If you specify any endpoint, this will replace all of the inherited endpoints.
ApiDef.Endpoint.Builder - org.tensorflow.framework中的类: If you specify any endpoint, this will replace all of the inherited endpoints.
ApiDef.EndpointOrBuilder - org.tensorflow.framework中的接口
ApiDef.Visibility - org.tensorflow.framework中的枚举: Protobuf enum tensorflow.ApiDef.Visibility
ApiDefOrBuilder - org.tensorflow.framework中的接口
ApiDefProtos - org.tensorflow.framework中的类
ApiDefs - org.tensorflow.framework中的类: Protobuf type tensorflow.ApiDefs
ApiDefs.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.ApiDefs
ApiDefsOrBuilder - org.tensorflow.framework中的接口
ARG_ORDER_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ApiDef
ARITHMETIC_OPTIMIZATION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RewriterConfig
ASSET_FILE_DEF_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MetaGraphDef
AssetFileDef - org.tensorflow.framework中的类: An asset file def for a single file or a set of sharded files with the same name.
AssetFileDef.Builder - org.tensorflow.framework中的类: An asset file def for a single file or a set of sharded files with the same name.
AssetFileDefOrBuilder - org.tensorflow.framework中的接口
ASYNC_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
ATTR_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ApiDef
ATTR_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.FunctionDef
ATTR_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NameAttrList
ATTR_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeDef
ATTR_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef
ATTRIBUTES_FIELD_NUMBER - 类中的静态变量tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
ATTRS_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.Operation
AttrValue - org.tensorflow.framework中的类: Protocol buffer representing the value for an attr used to configure an Op.
AttrValue.Builder - org.tensorflow.framework中的类: Protocol buffer representing the value for an attr used to configure an Op.
AttrValue.ListValue - org.tensorflow.framework中的类: LINT.IfChange Protobuf type tensorflow.AttrValue.ListValue
AttrValue.ListValue.Builder - org.tensorflow.framework中的类: LINT.IfChange Protobuf type tensorflow.AttrValue.ListValue
AttrValue.ListValueOrBuilder - org.tensorflow.framework中的接口
AttrValue.ValueCase - org.tensorflow.framework中的枚举
AttrValueOrBuilder - org.tensorflow.framework中的接口
AttrValueProtos - org.tensorflow.framework中的类
AUDIO_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.Summary.Value
AUTO_PARALLEL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RewriterConfig
AutoParallelOptions - org.tensorflow.framework中的类: Protobuf type tensorflow.AutoParallelOptions
AutoParallelOptions.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.AutoParallelOptions
AutoParallelOptionsOrBuilder - org.tensorflow.framework中的接口
AVAILABLE_VALUE - 枚举中的静态变量tensorflow.serving.GetModelStatus.ModelVersionStatus.State: The manager has successfully loaded this servable and made it available for serving (i.e.

B

B_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AttrValue
B_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AttrValue.ListValue
BACK_PROP_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.WhileContextDef
BAD_CONSUMERS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.VersionDef
BANDWIDTH_FIELD_NUMBER - 类中的静态变量tensorflow.DevicePropertiesProtos.DeviceProperties
BASE_PATH_FIELD_NUMBER - 类中的静态变量tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
BASE_PATH_FIELD_NUMBER - 类中的静态变量tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
BASE_PATH_FIELD_NUMBER - 类中的静态变量tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
BIG_VALUE - 枚举中的静态变量org.tensorflow.util.BundleHeaderProto.Endianness: BIG = 1;
bindService() - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceImplBase
bindService() - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceImplBase
bindService() - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceImplBase
bindService() - 类中的方法tensorflow.serving.ModelServiceGrpc.ModelServiceImplBase
bindService() - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceImplBase
bindService() - 类中的方法tensorflow.serving.SessionServiceGrpc.SessionServiceImplBase
BOOL_VAL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorProto
BRANCH_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CondContextDef
BUCKET_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.HistogramProto
BUCKET_LIMIT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.HistogramProto
BUF_PTR_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvBufRequest
BUF_PTR_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvBufResponse
BUF_RENDEZVOUS_KEY_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvBufRequest
build() - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.CleanupAllResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.CloseSessionResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder
build() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
build() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.GetStatusRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.JobDef.Builder
build() - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
build() - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder
build(Channel, CallOptions) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceBlockingStub
build(Channel, CallOptions) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceFutureStub
build(Channel, CallOptions) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceStub
build() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.ResetResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder
build() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder
build() - 类中的方法org.tensorflow.distruntime.StepSequence.Builder
build() - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder
build() - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder
build() - 类中的方法org.tensorflow.distruntime.TracingResponse.Builder
build(Channel, CallOptions) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceBlockingStub
build(Channel, CallOptions) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceFutureStub
build(Channel, CallOptions) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceStub
build() - 类中的方法org.tensorflow.example.BytesList.Builder
build() - 类中的方法org.tensorflow.example.Example.Builder
build() - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
build() - 类中的方法org.tensorflow.example.Feature.Builder
build() - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder
build() - 类中的方法org.tensorflow.example.FeatureList.Builder
build() - 类中的方法org.tensorflow.example.FeatureLists.Builder
build() - 类中的方法org.tensorflow.example.Features.Builder
build() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
build() - 类中的方法org.tensorflow.example.FloatList.Builder
build() - 类中的方法org.tensorflow.example.Int64List.Builder
build() - 类中的方法org.tensorflow.example.SequenceExample.Builder
build() - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder
build() - 类中的方法org.tensorflow.framework.AllocationDescription.Builder
build() - 类中的方法org.tensorflow.framework.AllocationRecord.Builder
build() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
build() - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder
build() - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder
build() - 类中的方法org.tensorflow.framework.ApiDef.Builder
build() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
build() - 类中的方法org.tensorflow.framework.ApiDefs.Builder
build() - 类中的方法org.tensorflow.framework.AssetFileDef.Builder
build() - 类中的方法org.tensorflow.framework.AttrValue.Builder
build() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
build() - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder
build() - 类中的方法org.tensorflow.framework.CallableOptions.Builder
build() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
build() - 类中的方法org.tensorflow.framework.CollectionDef.Builder
build() - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
build() - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
build() - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder
build() - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
build() - 类中的方法org.tensorflow.framework.CondContextDef.Builder
build() - 类中的方法org.tensorflow.framework.ConfigProto.Builder
build() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
build() - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
build() - 类中的方法org.tensorflow.framework.CostGraphDef.Builder
build() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
build() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
build() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
build() - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder
build() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
build() - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
build() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
build() - 类中的方法org.tensorflow.framework.DebugOptions.Builder
build() - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder
build() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder
build() - 类中的方法org.tensorflow.framework.DeviceLocality.Builder
build() - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder
build() - 类中的方法org.tensorflow.framework.FunctionDef.Builder
build() - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
build() - 类中的方法org.tensorflow.framework.GPUOptions.Builder
build() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
build() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
build() - 类中的方法org.tensorflow.framework.GradientDef.Builder
build() - 类中的方法org.tensorflow.framework.GraphDef.Builder
build() - 类中的方法org.tensorflow.framework.GraphOptions.Builder
build() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
build() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
build() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
build() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder
build() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
build() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder
build() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
build() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
build() - 类中的方法org.tensorflow.framework.HistogramProto.Builder
build() - 类中的方法org.tensorflow.framework.InterconnectLink.Builder
build() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
build() - 类中的方法org.tensorflow.framework.KernelDef.Builder
build() - 类中的方法org.tensorflow.framework.KernelList.Builder
build() - 类中的方法org.tensorflow.framework.LocalLinks.Builder
build() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
build() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
build() - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder
build() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
build() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
build() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
build() - 类中的方法org.tensorflow.framework.MemoryStats.Builder
build() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
build() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
build() - 类中的方法org.tensorflow.framework.NameAttrList.Builder
build() - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder
build() - 类中的方法org.tensorflow.framework.NodeDef.Builder
build() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder
build() - 类中的方法org.tensorflow.framework.NodeOutput.Builder
build() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
build() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
build() - 类中的方法org.tensorflow.framework.OpDef.Builder
build() - 类中的方法org.tensorflow.framework.OpDeprecation.Builder
build() - 类中的方法org.tensorflow.framework.OpList.Builder
build() - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder
build() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder
build() - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder
build() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
build() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
build() - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder
build() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder
build() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
build() - 类中的方法org.tensorflow.framework.RPCOptions.Builder
build() - 类中的方法org.tensorflow.framework.RunMetadata.Builder
build() - 类中的方法org.tensorflow.framework.RunOptions.Builder
build() - 类中的方法org.tensorflow.framework.RunOptions.Experimental.Builder
build() - 类中的方法org.tensorflow.framework.SavedModel.Builder
build() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
build() - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
build() - 类中的方法org.tensorflow.framework.SignatureDef.Builder
build() - 类中的方法org.tensorflow.framework.StepStats.Builder
build() - 类中的方法org.tensorflow.framework.Summary.Audio.Builder
build() - 类中的方法org.tensorflow.framework.Summary.Builder
build() - 类中的方法org.tensorflow.framework.Summary.Image.Builder
build() - 类中的方法org.tensorflow.framework.Summary.Value.Builder
build() - 类中的方法org.tensorflow.framework.SummaryDescription.Builder
build() - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder
build() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
build() - 类中的方法org.tensorflow.framework.TensorConnection.Builder
build() - 类中的方法org.tensorflow.framework.TensorDescription.Builder
build() - 类中的方法org.tensorflow.framework.TensorInfo.Builder
build() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
build() - 类中的方法org.tensorflow.framework.TensorProto.Builder
build() - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder
build() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
build() - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder
build() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
build() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
build() - 类中的方法org.tensorflow.framework.ValuesDef.Builder
build() - 类中的方法org.tensorflow.framework.VariableDef.Builder
build() - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
build() - 类中的方法org.tensorflow.framework.VersionDef.Builder
build() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder
build() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder
build() - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder
build() - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder
build() - 类中的方法org.tensorflow.util.SaverDef.Builder
build() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
build() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
build() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
build() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
build() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
build() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
build() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
build(Channel, CallOptions) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceBlockingStub
build(Channel, CallOptions) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceFutureStub
build(Channel, CallOptions) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceStub
build() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
build() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
build() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
build() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
build() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
build() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
build() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
build() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
build() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
build() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
build() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
build() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
build() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
build() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
build() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
build() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse.Builder
build() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
build() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
build() - 类中的方法tensorflow.serving.Classification.Class.Builder
build() - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
build() - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
build() - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder
build() - 类中的方法tensorflow.serving.Classification.Classifications.Builder
build() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
build() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
build() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder
build() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
build() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder
build() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
build() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
build() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
build() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
build() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
build() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
build() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
build() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder
build() - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder
build() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
build() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
build() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
build() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
build() - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder
build() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
build() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
build() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
build() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
build() - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder
build() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
build() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder
build() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder
build() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
build() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
build() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
build() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
build() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
build(Channel, CallOptions) - 类中的方法tensorflow.serving.ModelServiceGrpc.ModelServiceBlockingStub
build(Channel, CallOptions) - 类中的方法tensorflow.serving.ModelServiceGrpc.ModelServiceFutureStub
build(Channel, CallOptions) - 类中的方法tensorflow.serving.ModelServiceGrpc.ModelServiceStub
build() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
build() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
build() - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder
build() - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder
build() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
build() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
build() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
build() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
build() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
build() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
build(Channel, CallOptions) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceBlockingStub
build(Channel, CallOptions) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceFutureStub
build(Channel, CallOptions) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceStub
build() - 类中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder
build() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
build() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
build() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
build(Channel, CallOptions) - 类中的方法tensorflow.serving.SessionServiceGrpc.SessionServiceBlockingStub
build(Channel, CallOptions) - 类中的方法tensorflow.serving.SessionServiceGrpc.SessionServiceFutureStub
build(Channel, CallOptions) - 类中的方法tensorflow.serving.SessionServiceGrpc.SessionServiceStub
build() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
build() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
build() - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
build() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
build() - 类中的方法tensorflow.serving.Status.StatusProto.Builder
build() - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder
BUILD_COST_MODEL_AFTER_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphOptions
BUILD_COST_MODEL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphOptions
buildPartial() - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.CleanupAllResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.CloseSessionResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.GetStatusRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.JobDef.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.ResetResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.StepSequence.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder
buildPartial() - 类中的方法org.tensorflow.distruntime.TracingResponse.Builder
buildPartial() - 类中的方法org.tensorflow.example.BytesList.Builder
buildPartial() - 类中的方法org.tensorflow.example.Example.Builder
buildPartial() - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
buildPartial() - 类中的方法org.tensorflow.example.Feature.Builder
buildPartial() - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder
buildPartial() - 类中的方法org.tensorflow.example.FeatureList.Builder
buildPartial() - 类中的方法org.tensorflow.example.FeatureLists.Builder
buildPartial() - 类中的方法org.tensorflow.example.Features.Builder
buildPartial() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
buildPartial() - 类中的方法org.tensorflow.example.FloatList.Builder
buildPartial() - 类中的方法org.tensorflow.example.Int64List.Builder
buildPartial() - 类中的方法org.tensorflow.example.SequenceExample.Builder
buildPartial() - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder
buildPartial() - 类中的方法org.tensorflow.framework.AllocationDescription.Builder
buildPartial() - 类中的方法org.tensorflow.framework.AllocationRecord.Builder
buildPartial() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
buildPartial() - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder
buildPartial() - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder
buildPartial() - 类中的方法org.tensorflow.framework.ApiDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
buildPartial() - 类中的方法org.tensorflow.framework.ApiDefs.Builder
buildPartial() - 类中的方法org.tensorflow.framework.AssetFileDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.AttrValue.Builder
buildPartial() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
buildPartial() - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder
buildPartial() - 类中的方法org.tensorflow.framework.CallableOptions.Builder
buildPartial() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
buildPartial() - 类中的方法org.tensorflow.framework.CollectionDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
buildPartial() - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
buildPartial() - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder
buildPartial() - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
buildPartial() - 类中的方法org.tensorflow.framework.CondContextDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.ConfigProto.Builder
buildPartial() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
buildPartial() - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.CostGraphDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
buildPartial() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
buildPartial() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
buildPartial() - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
buildPartial() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
buildPartial() - 类中的方法org.tensorflow.framework.DebugOptions.Builder
buildPartial() - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder
buildPartial() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder
buildPartial() - 类中的方法org.tensorflow.framework.DeviceLocality.Builder
buildPartial() - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder
buildPartial() - 类中的方法org.tensorflow.framework.FunctionDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
buildPartial() - 类中的方法org.tensorflow.framework.GPUOptions.Builder
buildPartial() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
buildPartial() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
buildPartial() - 类中的方法org.tensorflow.framework.GradientDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.GraphDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.GraphOptions.Builder
buildPartial() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
buildPartial() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
buildPartial() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
buildPartial() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder
buildPartial() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
buildPartial() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder
buildPartial() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
buildPartial() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
buildPartial() - 类中的方法org.tensorflow.framework.HistogramProto.Builder
buildPartial() - 类中的方法org.tensorflow.framework.InterconnectLink.Builder
buildPartial() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
buildPartial() - 类中的方法org.tensorflow.framework.KernelDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.KernelList.Builder
buildPartial() - 类中的方法org.tensorflow.framework.LocalLinks.Builder
buildPartial() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
buildPartial() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
buildPartial() - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder
buildPartial() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
buildPartial() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
buildPartial() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
buildPartial() - 类中的方法org.tensorflow.framework.MemoryStats.Builder
buildPartial() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.NameAttrList.Builder
buildPartial() - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder
buildPartial() - 类中的方法org.tensorflow.framework.NodeDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder
buildPartial() - 类中的方法org.tensorflow.framework.NodeOutput.Builder
buildPartial() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.OpDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.OpDeprecation.Builder
buildPartial() - 类中的方法org.tensorflow.framework.OpList.Builder
buildPartial() - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder
buildPartial() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder
buildPartial() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
buildPartial() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
buildPartial() - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder
buildPartial() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder
buildPartial() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
buildPartial() - 类中的方法org.tensorflow.framework.RPCOptions.Builder
buildPartial() - 类中的方法org.tensorflow.framework.RunMetadata.Builder
buildPartial() - 类中的方法org.tensorflow.framework.RunOptions.Builder
buildPartial() - 类中的方法org.tensorflow.framework.RunOptions.Experimental.Builder
buildPartial() - 类中的方法org.tensorflow.framework.SavedModel.Builder
buildPartial() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
buildPartial() - 类中的方法org.tensorflow.framework.SignatureDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.StepStats.Builder
buildPartial() - 类中的方法org.tensorflow.framework.Summary.Audio.Builder
buildPartial() - 类中的方法org.tensorflow.framework.Summary.Builder
buildPartial() - 类中的方法org.tensorflow.framework.Summary.Image.Builder
buildPartial() - 类中的方法org.tensorflow.framework.Summary.Value.Builder
buildPartial() - 类中的方法org.tensorflow.framework.SummaryDescription.Builder
buildPartial() - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder
buildPartial() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
buildPartial() - 类中的方法org.tensorflow.framework.TensorConnection.Builder
buildPartial() - 类中的方法org.tensorflow.framework.TensorDescription.Builder
buildPartial() - 类中的方法org.tensorflow.framework.TensorInfo.Builder
buildPartial() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
buildPartial() - 类中的方法org.tensorflow.framework.TensorProto.Builder
buildPartial() - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder
buildPartial() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
buildPartial() - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder
buildPartial() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
buildPartial() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
buildPartial() - 类中的方法org.tensorflow.framework.ValuesDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.VariableDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
buildPartial() - 类中的方法org.tensorflow.framework.VersionDef.Builder
buildPartial() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder
buildPartial() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder
buildPartial() - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder
buildPartial() - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder
buildPartial() - 类中的方法org.tensorflow.util.SaverDef.Builder
buildPartial() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
buildPartial() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
buildPartial() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
buildPartial() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
buildPartial() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
buildPartial() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
buildPartial() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
buildPartial() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
buildPartial() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
buildPartial() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
buildPartial() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
buildPartial() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
buildPartial() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
buildPartial() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
buildPartial() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
buildPartial() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
buildPartial() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
buildPartial() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
buildPartial() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
buildPartial() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
buildPartial() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
buildPartial() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
buildPartial() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse.Builder
buildPartial() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
buildPartial() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
buildPartial() - 类中的方法tensorflow.serving.Classification.Class.Builder
buildPartial() - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
buildPartial() - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
buildPartial() - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder
buildPartial() - 类中的方法tensorflow.serving.Classification.Classifications.Builder
buildPartial() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
buildPartial() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
buildPartial() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder
buildPartial() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
buildPartial() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder
buildPartial() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
buildPartial() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
buildPartial() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
buildPartial() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
buildPartial() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
buildPartial() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
buildPartial() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
buildPartial() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder
buildPartial() - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder
buildPartial() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
buildPartial() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
buildPartial() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
buildPartial() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
buildPartial() - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder
buildPartial() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
buildPartial() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
buildPartial() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
buildPartial() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
buildPartial() - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder
buildPartial() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
buildPartial() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder
buildPartial() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder
buildPartial() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
buildPartial() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
buildPartial() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
buildPartial() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
buildPartial() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
buildPartial() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
buildPartial() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
buildPartial() - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder
buildPartial() - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder
buildPartial() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
buildPartial() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
buildPartial() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
buildPartial() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
buildPartial() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
buildPartial() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
buildPartial() - 类中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder
buildPartial() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
buildPartial() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
buildPartial() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
buildPartial() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
buildPartial() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
buildPartial() - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
buildPartial() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
buildPartial() - 类中的方法tensorflow.serving.Status.StatusProto.Builder
buildPartial() - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder
BundleEntryProto - org.tensorflow.util中的类: Describes the metadata related to a checkpointed tensor.
BundleEntryProto.Builder - org.tensorflow.util中的类: Describes the metadata related to a checkpointed tensor.
BundleEntryProtoOrBuilder - org.tensorflow.util中的接口
BundleHeaderProto - org.tensorflow.util中的类: Special header that is associated with a bundle.
BundleHeaderProto.Builder - org.tensorflow.util中的类: Special header that is associated with a bundle.
BundleHeaderProto.Endianness - org.tensorflow.util中的枚举: An enum indicating the endianness of the platform that produced this bundle.
BundleHeaderProtoOrBuilder - org.tensorflow.util中的接口
BUS_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DeviceLocality
BYTES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DebuggedSourceFile
BYTES_LIST_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.Feature
BYTES_LIST_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CollectionDef
BytesList - org.tensorflow.example中的类: Containers to hold repeated fundamental values.
BytesList.Builder - org.tensorflow.example中的类: Containers to hold repeated fundamental values.
BytesListOrBuilder - org.tensorflow.example中的接口

C

CallableOptions - org.tensorflow.framework中的类: Defines a subgraph in another `GraphDef` as a set of feed points and nodes to be fetched or executed.
CallableOptions.Builder - org.tensorflow.framework中的类: Defines a subgraph in another `GraphDef` as a set of feed points and nodes to be fetched or executed.
CallableOptionsOrBuilder - org.tensorflow.framework中的接口
CANCEL_OP_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.QueueRunnerDef
CANCELLED_VALUE - 枚举中的静态变量org.tensorflow.framework.Code: The operation was cancelled (typically by the caller).
CHECKPOINT_KEY_FIELD_NUMBER - 类中的静态变量tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
CheckpointableObjectGraphOuterClass - tensorflow中的类
CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph - tensorflow中的类: Protobuf type tensorflow.CheckpointableObjectGraph
CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder - tensorflow中的类: Protobuf type tensorflow.CheckpointableObjectGraph
CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject - tensorflow中的类: Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject
CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder - tensorflow中的类: Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject
CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference - tensorflow中的类: Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder - tensorflow中的类: Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReferenceOrBuilder - tensorflow中的接口
CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor - tensorflow中的类: Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder - tensorflow中的类: Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder - tensorflow中的接口
CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference - tensorflow中的类: Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder - tensorflow中的类: Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReferenceOrBuilder - tensorflow中的接口
CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder - tensorflow中的接口
CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder - tensorflow中的接口
CHILDREN_FIELD_NUMBER - 类中的静态变量tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
CLASSES_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Classification.Classifications
Classification - tensorflow.serving中的类
Classification.Class - tensorflow.serving中的类: A single class.
Classification.Class.Builder - tensorflow.serving中的类: A single class.
Classification.ClassificationRequest - tensorflow.serving中的类: Protobuf type tensorflow.serving.ClassificationRequest
Classification.ClassificationRequest.Builder - tensorflow.serving中的类: Protobuf type tensorflow.serving.ClassificationRequest
Classification.ClassificationRequestOrBuilder - tensorflow.serving中的接口
Classification.ClassificationResponse - tensorflow.serving中的类: Protobuf type tensorflow.serving.ClassificationResponse
Classification.ClassificationResponse.Builder - tensorflow.serving中的类: Protobuf type tensorflow.serving.ClassificationResponse
Classification.ClassificationResponseOrBuilder - tensorflow.serving中的接口
Classification.ClassificationResult - tensorflow.serving中的类: Contains one result per input example, in the same order as the input in ClassificationRequest.
Classification.ClassificationResult.Builder - tensorflow.serving中的类: Contains one result per input example, in the same order as the input in ClassificationRequest.
Classification.ClassificationResultOrBuilder - tensorflow.serving中的接口
Classification.Classifications - tensorflow.serving中的类: List of classes for a single item (tensorflow.Example).
Classification.Classifications.Builder - tensorflow.serving中的类: List of classes for a single item (tensorflow.Example).
Classification.ClassificationsOrBuilder - tensorflow.serving中的接口
Classification.ClassOrBuilder - tensorflow.serving中的接口
CLASSIFICATION_RESULT_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Inference.InferenceResult
CLASSIFICATIONS_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Classification.ClassificationResult
classify(Classification.ClassificationRequest) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceBlockingStub: Classify.
classify(Classification.ClassificationRequest) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceFutureStub: Classify.
classify(Classification.ClassificationRequest, StreamObserver<Classification.ClassificationResponse>) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceImplBase: Classify.
classify(Classification.ClassificationRequest, StreamObserver<Classification.ClassificationResponse>) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceStub: Classify.
CLASSIFY_LOG_FIELD_NUMBER - 类中的静态变量tensorflow.serving.PredictionLogOuterClass.PredictionLog
cleanupAll(CleanupAllRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceBlockingStub: See worker.proto for details.
cleanupAll(CleanupAllRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceFutureStub: See worker.proto for details.
cleanupAll(CleanupAllRequest, StreamObserver<CleanupAllResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceImplBase: See worker.proto for details.
cleanupAll(CleanupAllRequest, StreamObserver<CleanupAllResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceStub: See worker.proto for details.
CleanupAllRequest - org.tensorflow.distruntime中的类: Protobuf type tensorflow.CleanupAllRequest
CleanupAllRequest.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.CleanupAllRequest
CleanupAllRequestOrBuilder - org.tensorflow.distruntime中的接口
CleanupAllResponse - org.tensorflow.distruntime中的类: Protobuf type tensorflow.CleanupAllResponse
CleanupAllResponse.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.CleanupAllResponse
CleanupAllResponseOrBuilder - org.tensorflow.distruntime中的接口
cleanupGraph(CleanupGraphRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceBlockingStub: See worker.proto for details.
cleanupGraph(CleanupGraphRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceFutureStub: See worker.proto for details.
cleanupGraph(CleanupGraphRequest, StreamObserver<CleanupGraphResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceImplBase: See worker.proto for details.
cleanupGraph(CleanupGraphRequest, StreamObserver<CleanupGraphResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceStub: See worker.proto for details.
CleanupGraphRequest - org.tensorflow.distruntime中的类: Protobuf type tensorflow.CleanupGraphRequest
CleanupGraphRequest.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.CleanupGraphRequest
CleanupGraphRequestOrBuilder - org.tensorflow.distruntime中的接口
CleanupGraphResponse - org.tensorflow.distruntime中的类: Protobuf type tensorflow.CleanupGraphResponse
CleanupGraphResponse.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.CleanupGraphResponse
CleanupGraphResponseOrBuilder - org.tensorflow.distruntime中的接口
clear() - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.CleanupAllResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.CloseSessionResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder
clear() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
clear() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.GetStatusRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.JobDef.Builder
clear() - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
clear() - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.ResetResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder
clear() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder
clear() - 类中的方法org.tensorflow.distruntime.StepSequence.Builder
clear() - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder
clear() - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder
clear() - 类中的方法org.tensorflow.distruntime.TracingResponse.Builder
clear() - 类中的方法org.tensorflow.example.BytesList.Builder
clear() - 类中的方法org.tensorflow.example.Example.Builder
clear() - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
clear() - 类中的方法org.tensorflow.example.Feature.Builder
clear() - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder
clear() - 类中的方法org.tensorflow.example.FeatureList.Builder
clear() - 类中的方法org.tensorflow.example.FeatureLists.Builder
clear() - 类中的方法org.tensorflow.example.Features.Builder
clear() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
clear() - 类中的方法org.tensorflow.example.FloatList.Builder
clear() - 类中的方法org.tensorflow.example.Int64List.Builder
clear() - 类中的方法org.tensorflow.example.SequenceExample.Builder
clear() - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder
clear() - 类中的方法org.tensorflow.framework.AllocationDescription.Builder
clear() - 类中的方法org.tensorflow.framework.AllocationRecord.Builder
clear() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
clear() - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder
clear() - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder
clear() - 类中的方法org.tensorflow.framework.ApiDef.Builder
clear() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
clear() - 类中的方法org.tensorflow.framework.ApiDefs.Builder
clear() - 类中的方法org.tensorflow.framework.AssetFileDef.Builder
clear() - 类中的方法org.tensorflow.framework.AttrValue.Builder
clear() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
clear() - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder
clear() - 类中的方法org.tensorflow.framework.CallableOptions.Builder
clear() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
clear() - 类中的方法org.tensorflow.framework.CollectionDef.Builder
clear() - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
clear() - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
clear() - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder
clear() - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
clear() - 类中的方法org.tensorflow.framework.CondContextDef.Builder
clear() - 类中的方法org.tensorflow.framework.ConfigProto.Builder
clear() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
clear() - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
clear() - 类中的方法org.tensorflow.framework.CostGraphDef.Builder
clear() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
clear() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
clear() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
clear() - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder
clear() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
clear() - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
clear() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
clear() - 类中的方法org.tensorflow.framework.DebugOptions.Builder
clear() - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder
clear() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder
clear() - 类中的方法org.tensorflow.framework.DeviceLocality.Builder
clear() - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder
clear() - 类中的方法org.tensorflow.framework.FunctionDef.Builder
clear() - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
clear() - 类中的方法org.tensorflow.framework.GPUOptions.Builder
clear() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
clear() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
clear() - 类中的方法org.tensorflow.framework.GradientDef.Builder
clear() - 类中的方法org.tensorflow.framework.GraphDef.Builder
clear() - 类中的方法org.tensorflow.framework.GraphOptions.Builder
clear() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
clear() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
clear() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
clear() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder
clear() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
clear() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder
clear() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
clear() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
clear() - 类中的方法org.tensorflow.framework.HistogramProto.Builder
clear() - 类中的方法org.tensorflow.framework.InterconnectLink.Builder
clear() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
clear() - 类中的方法org.tensorflow.framework.KernelDef.Builder
clear() - 类中的方法org.tensorflow.framework.KernelList.Builder
clear() - 类中的方法org.tensorflow.framework.LocalLinks.Builder
clear() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
clear() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
clear() - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder
clear() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
clear() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
clear() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
clear() - 类中的方法org.tensorflow.framework.MemoryStats.Builder
clear() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
clear() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
clear() - 类中的方法org.tensorflow.framework.NameAttrList.Builder
clear() - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder
clear() - 类中的方法org.tensorflow.framework.NodeDef.Builder
clear() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder
clear() - 类中的方法org.tensorflow.framework.NodeOutput.Builder
clear() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
clear() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
clear() - 类中的方法org.tensorflow.framework.OpDef.Builder
clear() - 类中的方法org.tensorflow.framework.OpDeprecation.Builder
clear() - 类中的方法org.tensorflow.framework.OpList.Builder
clear() - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder
clear() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder
clear() - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder
clear() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
clear() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
clear() - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder
clear() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder
clear() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
clear() - 类中的方法org.tensorflow.framework.RPCOptions.Builder
clear() - 类中的方法org.tensorflow.framework.RunMetadata.Builder
clear() - 类中的方法org.tensorflow.framework.RunOptions.Builder
clear() - 类中的方法org.tensorflow.framework.RunOptions.Experimental.Builder
clear() - 类中的方法org.tensorflow.framework.SavedModel.Builder
clear() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
clear() - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
clear() - 类中的方法org.tensorflow.framework.SignatureDef.Builder
clear() - 类中的方法org.tensorflow.framework.StepStats.Builder
clear() - 类中的方法org.tensorflow.framework.Summary.Audio.Builder
clear() - 类中的方法org.tensorflow.framework.Summary.Builder
clear() - 类中的方法org.tensorflow.framework.Summary.Image.Builder
clear() - 类中的方法org.tensorflow.framework.Summary.Value.Builder
clear() - 类中的方法org.tensorflow.framework.SummaryDescription.Builder
clear() - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder
clear() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
clear() - 类中的方法org.tensorflow.framework.TensorConnection.Builder
clear() - 类中的方法org.tensorflow.framework.TensorDescription.Builder
clear() - 类中的方法org.tensorflow.framework.TensorInfo.Builder
clear() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
clear() - 类中的方法org.tensorflow.framework.TensorProto.Builder
clear() - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder
clear() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
clear() - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder
clear() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
clear() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
clear() - 类中的方法org.tensorflow.framework.ValuesDef.Builder
clear() - 类中的方法org.tensorflow.framework.VariableDef.Builder
clear() - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
clear() - 类中的方法org.tensorflow.framework.VersionDef.Builder
clear() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder
clear() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder
clear() - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder
clear() - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder
clear() - 类中的方法org.tensorflow.util.SaverDef.Builder
clear() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
clear() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
clear() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
clear() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
clear() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
clear() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
clear() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
clear() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
clear() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
clear() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
clear() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
clear() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
clear() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
clear() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
clear() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
clear() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
clear() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
clear() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
clear() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
clear() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
clear() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
clear() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
clear() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse.Builder
clear() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
clear() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
clear() - 类中的方法tensorflow.serving.Classification.Class.Builder
clear() - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
clear() - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
clear() - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder
clear() - 类中的方法tensorflow.serving.Classification.Classifications.Builder
clear() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
clear() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
clear() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder
clear() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
clear() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder
clear() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
clear() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
clear() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
clear() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
clear() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
clear() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
clear() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
clear() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder
clear() - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder
clear() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
clear() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
clear() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
clear() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
clear() - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder
clear() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
clear() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
clear() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
clear() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
clear() - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder
clear() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
clear() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder
clear() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder
clear() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
clear() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
clear() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
clear() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
clear() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
clear() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
clear() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
clear() - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder
clear() - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder
clear() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
clear() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
clear() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
clear() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
clear() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
clear() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
clear() - 类中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder
clear() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
clear() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
clear() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
clear() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
clear() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
clear() - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
clear() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
clear() - 类中的方法tensorflow.serving.Status.StatusProto.Builder
clear() - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder
CLEAR_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.LoggingRequest
clearAliasInputPort() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder: If >= 0, the output is an alias of an input.
clearAll() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All all = 101;
clearAllEndRelMicros() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 all_end_rel_micros = 5;
clearAllEndRelNanos() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 all_end_rel_nanos = 16;
clearAllocatedBytes() - 类中的方法org.tensorflow.framework.AllocationDescription.Builder: Total number of bytes allocated if known int64 allocated_bytes = 2;
clearAllocationDescription() - 类中的方法org.tensorflow.framework.TensorDescription.Builder: Information about the size and allocator used for the data .tensorflow.AllocationDescription allocation_description = 4;
clearAllocationId() - 类中的方法org.tensorflow.framework.AllocationDescription.Builder: Identifier of the allocated buffer if known int64 allocation_id = 4;
clearAllocationId() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder: Id of the tensor buffer being allocated, used to match to a corresponding deallocation.
clearAllocationId() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
clearAllocationId() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
clearAllocationRecords() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
clearAllocatorBytesInUse() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: These are snapshots of the overall allocator memory stats.
clearAllocatorName() - 类中的方法org.tensorflow.framework.AllocationDescription.Builder: Name of the allocator used string allocator_name = 3;
clearAllocatorName() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: string allocator_name = 1;
clearAllocatorName() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder: Name of the allocator used.
clearAllocatorName() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder: Name of the allocator used.
clearAllocatorName() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder: Name of the allocator used.
clearAllocatorType() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: The type of GPU allocation strategy to use.
clearAllocBytes() - 类中的方法org.tensorflow.framework.AllocationRecord.Builder: Number of bytes allocated, or de-allocated if negative.
clearAllocMicros() - 类中的方法org.tensorflow.framework.AllocationRecord.Builder: The timestamp of the operation.
clearAllowedValues() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
clearAllowedValues() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: The set of allowed values.
clearAllowGrowth() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
clearAllowSoftPlacement() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Whether soft placement is allowed.
clearAllowsUninitializedInput() - 类中的方法org.tensorflow.framework.OpDef.Builder: By default, all inputs to an Op must be initialized Tensors.
clearAllStartMicros() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 all_start_micros = 2;
clearAllStartNanos() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 all_start_nanos = 13;
clearAnyInfo() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
clearAnyList() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
clearArgOrder() - 类中的方法org.tensorflow.framework.ApiDef.Builder: List of original in_arg names to specify new argument order.
clearArithmeticOptimization() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Arithmetic optimizations (default is ON) e.g.
clearAssetFileDef() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
clearAsync() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: Whether the ops on the worker should be executed synchronously or asynchronously.
clearAttr() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
clearAttr() - 类中的方法org.tensorflow.framework.FunctionDef.Builder
clearAttr() - 类中的方法org.tensorflow.framework.NameAttrList.Builder
clearAttr() - 类中的方法org.tensorflow.framework.NodeDef.Builder
clearAttr() - 类中的方法org.tensorflow.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
clearAttributes() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Serialized data specific to this object.
clearAttrs() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
clearAudio() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
clearAutoParallel() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
clearB() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "bool" bool b = 5;
clearB() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(bool)" repeated bool b = 5 [packed = true];
clearBackProp() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Whether backprop is enabled for this while loop.
clearBadConsumers() - 类中的方法org.tensorflow.framework.VersionDef.Builder: Specific consumer versions which are disallowed (e.g. due to bugs).
clearBandwidth() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Memory bandwidth in KB/s int64 bandwidth = 13;
clearBasePath() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: 已过时。
clearBasePath() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder: The path to monitor, i.e. look for child paths of the form base_path/123.
clearBasePath() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Base path to the model, excluding the version directory.
clearBoolVal() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_BOOL repeated bool bool_val = 11 [packed = true];
clearBranch() - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Branch prediction. 0 or 1.
clearBucket() - 类中的方法org.tensorflow.framework.HistogramProto.Builder: repeated double bucket = 7 [packed = true];
clearBucketLimit() - 类中的方法org.tensorflow.framework.HistogramProto.Builder: Parallel arrays encoding the bucket boundaries and the bucket values.
clearBufPtr() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: When RDMA is in use, address of destination field on client.
clearBufPtr() - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder: Address of source field on server.
clearBufRendezvousKey() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Arbitrary string identifying a BufRendezvous entry.
clearBuildCostModel() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. 0 means no cost model.
clearBuildCostModelAfter() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: The number of steps to skip before collecting statistics for the cost model.
clearBusId() - 类中的方法org.tensorflow.framework.DeviceLocality.Builder: Optional bus locality of device.
clearBytes() - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: Byte size of the file.
clearBytesList() - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
clearBytesList() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
clearCancelOpName() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: The operation to run to cancel the queue.
clearCheckpointKey() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder: The generated name of the Tensor in the checkpoint.
clearChildren() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Objects which this object depends on.
clearClasses() - 类中的方法tensorflow.serving.Classification.Classifications.Builder: repeated .tensorflow.serving.Class classes = 1;
clearClassificationResult() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.ClassificationResult classification_result = 2;
clearClassifications() - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder: repeated .tensorflow.serving.Classifications classifications = 1;
clearClassifyLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.ClassifyLog classify_log = 2;
clearClear() - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder: If true, discard any saved logging data (for all steps).
clearClientLocality() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional information on client-side device locality.
clearClientLocality() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information on client-side device locality.
clearClientVerify() - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder: valid client certificate required ?
clearCloseOpName() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: The operation to run to close the queue.
clearCluster() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The cluster of which this server is a member.
clearClusterDef() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Optional list of all workers to use in this session.
clearCollectionDef() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
clearCollectiveGraphKey() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: If graph_def contains any collective ops this must be a positive integer used to coordinate execution with other graphs.
clearCollectiveGraphKey() - 类中的方法org.tensorflow.framework.RunOptions.Experimental.Builder: If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
clearCollectiveGroupLeader() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder: Task name for group resolution.
clearColorspace() - 类中的方法org.tensorflow.framework.Summary.Image.Builder: Valid colorspace values are 1 - grayscale 2 - grayscale + alpha 3 - RGB 4 - RGBA 5 - DIGITAL_YUV 6 - BGRA int32 colorspace = 3;
clearComputeCost() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Estimate of the computational cost of this node, in microseconds.
clearComputeTime() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Analytical estimate of the computational cost of this node, in microseconds.
clearCondCtxt() - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
clearConfig() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder: Configuration options.
clearConfig() - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder
clearConfig() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder: .tensorflow.serving.ModelServerConfig config = 1;
clearConfig() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder: repeated .tensorflow.serving.ModelConfig config = 1;
clearConfig() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
clearConstantFolding() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
clearConstNodeInfo() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
clearConstraint() - 类中的方法org.tensorflow.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
clearContainer() - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder: A list of container names.
clearContainer() - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder: A list of container names, which may be empty.
clearContainer() - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: Container in which this resource is placed.
clearContent() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder: The content to store for the plugin.
clearContentType() - 类中的方法org.tensorflow.framework.Summary.Audio.Builder: string content_type = 5;
clearContext() - 类中的方法org.tensorflow.example.SequenceExample.Builder: .tensorflow.Features context = 1;
clearContext() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: .tensorflow.Example context = 2;
clearContext() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder: bytes context = 2;
clearContextId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder: fixed64 context_id = 1;
clearContextId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder: The ID of the created context.
clearContextId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder: fixed64 context_id = 1;
clearContextId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder: fixed64 context_id = 1;
clearContextId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder: fixed64 context_id = 1;
clearContextId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: fixed64 context_id = 1;
clearContextId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder: fixed64 context_id = 1;
clearContextName() - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Name of the context.
clearContextName() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Name of the context.
clearControlInput() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Ids of the control inputs for this node.
clearControlOpIds() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: Control Operation IDs that will be respected when ops are re-ordered by async execution.
clearCooSparse() - 类中的方法org.tensorflow.framework.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
clearCostGraph() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: .tensorflow.CostGraphDef cost_graph = 3;
clearCostGraph() - 类中的方法org.tensorflow.framework.RunMetadata.Builder: The cost graph for the computation defined by the run call.
clearCrc32C() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: The CRC32C checksum of the tensor bytes.
clearCreateWorkerSessionCalled() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder: Set to true if `CreateWorkerSession` was called for `session_handle`.
clearCreateWorkerSessionCalled() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Set to true if `CreateWorkerSession` was called for `session_handle`.
clearCreateWorkerSessionCalled() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Set to true if `CreateWorkerSession` was called for `session_handle`.
clearCriticalSectionName() - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder: Name of the critical section handle.
clearCtxt() - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
clearCurrentGraphVersion() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder: REQUIRED: The version number of the graph to be extended.
clearCurrentWork() - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder: bytes current_work = 4;
clearCustomCa() - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder: custom certificate authority string custom_ca = 3;
clearCustomModelConfig() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder: .google.protobuf.Any custom_model_config = 2;
clearCustomOptimizers() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
clearData() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: bytes data = 4;
clearDataType() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: .tensorflow.DataType data_type = 3;
clearDcomplexVal() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
clearDebugOps() - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
clearDebugOptions() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Field(s) used by TensorFlow Debugger (tfdbg).
clearDebugOptions() - 类中的方法org.tensorflow.framework.RunOptions.Builder: EXPERIMENTAL.
clearDebugStripper() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Strips debug-related nodes from the graph (off by default).
clearDebugTensorWatchOpts() - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
clearDebugUrls() - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: URL(s) for debug targets(s).
clearDefaultGraphInputTensorShape() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
clearDefaultGraphOutputTensorShape() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
clearDefaultSessionConfig() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The default configuration for sessions that run on this server.
clearDefaultValue() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
clearDefaultValue() - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
clearDefaultValue() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
clearDeferred() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder: True if the deallocation is queued and will be performed later, e.g. for GPU lazy freeing of buffers.
clearDeferredDeletionBytes() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.
clearDenseShapeTensorName() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
clearDependencyOptimization() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Control dependency optimizations (default is ON).
clearDeprecated() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder: Set if this endpoint is deprecated.
clearDeprecation() - 类中的方法org.tensorflow.framework.OpDef.Builder: Optional deprecation based on GraphDef versions.
clearDeprecationMessage() - 类中的方法org.tensorflow.framework.ApiDef.Builder: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
clearDescription() - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder: Note: this will replace any inherited arg doc.
clearDescription() - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
clearDescription() - 类中的方法org.tensorflow.framework.ApiDef.Builder: Additional, longer human-readable description of what the Op does.
clearDescription() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: Human readable description.
clearDescription() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: Human-readable description.
clearDescription() - 类中的方法org.tensorflow.framework.OpDef.Builder: Additional, longer human-readable description of what the Op does.
clearDescriptionPrefix() - 类中的方法org.tensorflow.framework.ApiDef.Builder: Modify an existing/inherited description by adding text to the beginning or end.
clearDescriptionSuffix() - 类中的方法org.tensorflow.framework.ApiDef.Builder: string description_suffix = 10;
clearDestination() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Destination of graph transfer .tensorflow.GraphTransferInfo.Destination destination = 7;
clearDevice() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: string device = 10;
clearDevice() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: The device of the node.
clearDevice() - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: string device = 1;
clearDevice() - 类中的方法org.tensorflow.framework.NodeDef.Builder: A (possibly partial) specification for the device on which this node should be placed.
clearDevice() - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: Unique name for the device containing the resource.
clearDevice() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: string device = 6;
clearDeviceAttributes() - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
clearDeviceAttributes() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder: List of devices that are locally accessible to the worker.
clearDeviceCount() - 类中的方法org.tensorflow.framework.ConfigProto.Builder
clearDeviceFilters() - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder: When any filters are present, only devices that match the filters will be reset.
clearDeviceFilters() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
clearDeviceId() - 类中的方法org.tensorflow.framework.InterconnectLink.Builder: int32 device_id = 1;
clearDeviceName() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder: repeated string device_name = 4;
clearDeviceName() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: repeated string device_name = 5;
clearDeviceName() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The device on which the tensors should be resident.
clearDevicePersistentMemorySize() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: 已过时。
clearDevicePersistentMemorySize() - 类中的方法org.tensorflow.framework.MemoryStats.Builder: 已过时。
clearDevicePersistentTensorAllocIds() - 类中的方法org.tensorflow.framework.MemoryStats.Builder: 已过时。
clearDeviceTempMemorySize() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: 已过时。
clearDeviceTempMemorySize() - 类中的方法org.tensorflow.framework.MemoryStats.Builder: 已过时。
clearDeviceType() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder: string device_type = 3;
clearDeviceType() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: string device_type = 3;
clearDeviceType() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: string device_type = 8;
clearDeviceType() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: String representation of device_type.
clearDeviceType() - 类中的方法org.tensorflow.framework.KernelDef.Builder: Type of device this kernel runs on.
clearDevStats() - 类中的方法org.tensorflow.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
clearDim() - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
clearDisableModelPruning() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2;
clearDisableRpcLogging() - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder: If true, RPC logging will be disabled.
clearDisplayName() - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder: Display name for viewing in TensorBoard.
clearDmaOk() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: If true, use an out-of-band DMA mechanism to transfer the received tensor.
clearDoCommonSubexpressionElimination() - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder: If true, optimize the graph using common subexpression elimination.
clearDoConstantFolding() - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder: If true, perform constant folding optimization on the graph.
clearDoFunctionInlining() - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder: If true, perform function inlining on the graph.
clearDoubleVal() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_DOUBLE.
clearDstDevice() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: string dst_device = 9;
clearDtype() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
clearDtype() - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
clearDtype() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.DataType dtype = 4;
clearDtype() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: .tensorflow.DataType dtype = 5;
clearDtype() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
clearDtype() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
clearDtype() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder: .tensorflow.DataType dtype = 1;
clearDtype() - 类中的方法org.tensorflow.framework.TensorDescription.Builder: Data type of tensor elements .tensorflow.DataType dtype = 1;
clearDtype() - 类中的方法org.tensorflow.framework.TensorInfo.Builder: .tensorflow.DataType dtype = 2;
clearDtype() - 类中的方法org.tensorflow.framework.TensorProto.Builder: .tensorflow.DataType dtype = 1;
clearDtype() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: The tensor dtype and shape.
clearDuration() - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder: Length of the trace to be taken, in seconds.
clearEnable() - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder: bool enable = 1;
clearEnableBfloat16Sendrecv() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: If true, transfer float values between processes as bfloat16.
clearEnableOp() - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
clearEnableRecvScheduling() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: If true, use control flow to schedule the activation of Recv nodes.
clearEnableRpcLogging() - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder: If true, RPC logging will be enabled.
clearEncodedAudioString() - 类中的方法org.tensorflow.framework.Summary.Audio.Builder: Encoded audio data and its associated RFC 2045 content type (e.g.
clearEncodedImageString() - 类中的方法org.tensorflow.framework.Summary.Image.Builder: Image data in encoded format.
clearEncoding() - 类中的方法org.tensorflow.framework.TensorInfo.Builder
clearEndianness() - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
clearEndpoint() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
clearEnqueueOpName() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: A list of enqueue operations.
clearEnvironment() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
clearErrorCode() - 类中的方法tensorflow.serving.Status.StatusProto.Builder: Error code.
clearErrorMessage() - 类中的方法tensorflow.serving.Status.StatusProto.Builder: Error message.
clearExampleList() - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder: .tensorflow.serving.ExampleList example_list = 1 [lazy = true];
clearExampleList() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder: .tensorflow.serving.internal.SerializedExampleList example_list = 1;
clearExampleListWithContext() - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder: .tensorflow.serving.ExampleListWithContext example_list_with_context = 2 [lazy = true];
clearExampleListWithContext() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder: .tensorflow.serving.internal.SerializedExampleListWithContext example_list_with_context = 2;
clearExamples() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder: repeated .tensorflow.Example examples = 1;
clearExamples() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: repeated .tensorflow.Example examples = 1;
clearExamples() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder: repeated bytes examples = 1;
clearExamples() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder: repeated bytes examples = 1;
clearExclusiveResourceAccess() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder: Whether this operation requires exclusive access to its resources, (i.e., no other CriticalSections may request the same resources).
clearExecOpts() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Options for this step.
clearExecuteInCriticalSectionName() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder: Name of the critical section handle.
clearExecutorName() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Executor's name string executor_name = 4;
clearExecutorType() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT" string executor_type = 3;
clearExperimental() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
clearExperimental() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
clearExperimental() - 类中的方法org.tensorflow.framework.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
clearExplanation() - 类中的方法org.tensorflow.framework.OpDeprecation.Builder: Explanation of why it was deprecated and what to use instead.
clearExtent() - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
clearExternalValues() - 类中的方法org.tensorflow.framework.ValuesDef.Builder
clearF() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "float" float f = 4;
clearF() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(float)" repeated float f = 4 [packed = true];
clearFailIfZeroVersionsAtStartup() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: If true, then FileSystemStoragePathSource::Create() and ::UpdateConfig() fail if, for any configured servables, the file system doesn't currently contain at least one version under the base path.
clearFeature() - 类中的方法org.tensorflow.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
clearFeature() - 类中的方法org.tensorflow.example.Features.Builder
clearFeatureList() - 类中的方法org.tensorflow.example.FeatureLists.Builder
clearFeatureLists() - 类中的方法org.tensorflow.example.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
clearFeatureMap() - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
clearFeatures() - 类中的方法org.tensorflow.example.Example.Builder: .tensorflow.Features features = 1;
clearFeed() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Tensors to be fed in future steps.
clearFeed() - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
clearFeed() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Tensors to be fed in the step.
clearFeed() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be fed in the callable.
clearFeed() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Tensors to be fed in the step.
clearFeedDevices() - 类中的方法org.tensorflow.framework.CallableOptions.Builder
clearFetch() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Fetches.
clearFetch() - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
clearFetch() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Fetches.
clearFetch() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Fetches.
clearFetch() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Fetches.
clearFetchDevices() - 类中的方法org.tensorflow.framework.CallableOptions.Builder
clearFetchSkipSync() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: By default, RunCallable() will synchronize the GPU stream before returning fetched tensors on a GPU device, to ensure that the values in those tensors have been produced.
clearFetchStepId() - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder: When set, requests all saved log data pertaining to the step.
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.CleanupAllResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.CloseSessionResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.GetStatusRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.JobDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.ResetResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.ServerDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.StepSequence.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.distruntime.TracingResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.example.BytesList.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.example.Example.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.example.Feature.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.example.FeatureList.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.example.FeatureLists.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.example.Features.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.example.FloatList.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.example.Int64List.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.example.SequenceExample.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.AllocationDescription.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.AllocationRecord.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.ApiDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.ApiDefs.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.AssetFileDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.AttrValue.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.CallableOptions.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.CollectionDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.CondContextDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.ConfigProto.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.CostGraphDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.DebugOptions.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.DeviceLocality.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.FunctionDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.GPUOptions.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.GradientDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.GraphDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.GraphOptions.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.HistogramProto.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.InterconnectLink.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.KernelDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.KernelList.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.LocalLinks.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.MemoryStats.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.NameAttrList.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.NodeDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.NodeOutput.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.OpDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.OpDeprecation.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.OpList.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.RPCOptions.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.RunMetadata.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.RunOptions.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.RunOptions.Experimental.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.SavedModel.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.SignatureDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.StepStats.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.Summary.Audio.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.Summary.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.Summary.Image.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.Summary.Value.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.SummaryDescription.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.TensorConnection.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.TensorDescription.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.TensorInfo.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.TensorProto.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.ValuesDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.VariableDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.VersionDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法org.tensorflow.util.SaverDef.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.Classification.Class.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.Classification.Classifications.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.Model.ModelSpec.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.serving.Status.StatusProto.Builder
clearField(Descriptors.FieldDescriptor) - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder
clearFilename() - 类中的方法org.tensorflow.framework.AssetFileDef.Builder: The filename within an assets directory.
clearFilenamePrefix() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder: The prefix to use for the filenames of the logs.
clearFilenameTensorName() - 类中的方法org.tensorflow.util.SaverDef.Builder: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
clearFilePath() - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: Path to the source code file.
clearFileSystemPollWaitSeconds() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: How long to wait between file-system polling to look for children of 'base_path', in seconds.
clearFixedLenFeature() - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
clearFloatList() - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.FloatList float_list = 2;
clearFloatList() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
clearFloatVal() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_FLOAT.
clearForceGpuCompatible() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: Force all tensors to be gpu_compatible.
clearFrequency() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Core Frequency in Mhz int64 frequency = 4;
clearFromTensor() - 类中的方法org.tensorflow.framework.TensorConnection.Builder: A tensor name.
clearFullName() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Name of the full variable of which this is a slice.
clearFullName() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder: The full name of the variable/tensor, if applicable.
clearFullShape() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Shape of the full variable.
clearFunc() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
clearFunc() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
clearFunction() - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
clearFunctionDef() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder: .tensorflow.FunctionDef function_def = 2;
clearFunctionName() - 类中的方法org.tensorflow.framework.GradientDef.Builder: The function name.
clearFunctionOptimization() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Function optimizations (default is ON).
clearGlobalJitLevel() - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
clearGlobalName() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder: The global name of the threadpool.
clearGlobalStep() - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Caller-specified global step count.
clearGpuOptions() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply to all GPUs.
clearGradient() - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
clearGradientFunc() - 类中的方法org.tensorflow.framework.GradientDef.Builder: The gradient function's name.
clearGraphDef() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder: The initial graph definition.
clearGraphDef() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder: REQUIRED: The nodes to be added to the session's graph.
clearGraphDef() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: "graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.
clearGraphDef() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: GraphDef.
clearGraphHandle() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder: REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.
clearGraphHandle() - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder: If the registration succeeds, returns an opaque graph_handle to the master.
clearGraphHandle() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.
clearGraphInputNodeInfo() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
clearGraphInputNodeName() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Remote fused graph input node name repeated string graph_input_node_name = 2;
clearGraphKey() - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder: repeated int64 graph_key = 1;
clearGraphKey() - 类中的方法org.tensorflow.distruntime.StepSequence.Builder: int64 graph_key = 1;
clearGraphOpName() - 类中的方法org.tensorflow.framework.ApiDef.Builder: Name of the op (in the OpDef) to specify the API for.
clearGraphOptions() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Configuration options for the session in which this graph was created.
clearGraphOptions() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply to all graphs.
clearGraphOutputNodeInfo() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
clearGraphOutputNodeName() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Remote fused graph output node name repeated string graph_output_node_name = 3;
clearGraphVersion() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder: The initial version number for the graph, to be used in the next call to ExtendSession.
clearGroupKey() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder: int32 group_key = 1;
clearGroupKey() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: int32 group_key = 1;
clearGroupKey() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: int32 group_key = 5;
clearGroupSize() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder: int32 group_size = 2;
clearGroupSize() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: int32 group_size = 2;
clearGroupSize() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: int32 group_size = 6;
clearHalfVal() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_HALF, DT_BFLOAT16.
clearHandle() - 类中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder: A handle to the created callable.
clearHandle() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder: REQUIRED: handle must be returned by a MakeCallable call to the same master service.
clearHandle() - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: REQUIRED: handle must be returned by a MakeCallable call to the same master service.
clearHandle() - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder: Handle describing the feeds and fetches of the step.
clearHandleToDecref() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder: .tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
clearHasControlFlow() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: 已过时。
clearHashCode() - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: Hash code for the type of the resource.
clearHasLength() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
clearHasMinimum() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: For type == "int", this is a minimum value.
clearHasSingleReference() - 类中的方法org.tensorflow.framework.AllocationDescription.Builder: Set if this tensor only has one remaining reference bool has_single_reference = 5;
clearHeight() - 类中的方法org.tensorflow.framework.Summary.Image.Builder: Dimensions of the image.
clearHisto() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
clearHost() - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: The host name on which a source code file is located.
clearHostMemoryArg() - 类中的方法org.tensorflow.framework.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
clearHostTempMemorySize() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: 已过时。
clearI() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "int" int64 i = 3;
clearI() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(int)" repeated int64 i = 3 [packed = true];
clearId() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: The id of the node.
clearId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: A unique identifier for the operation.
clearImage() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
clearInaccurate() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Are the costs inaccurate?
clearInArg() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
clearIncarnation() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: A device is assigned a global unique number each time it is initialized.
clearIndex() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder: Index of the output being set.
clearIndicesOutputTensorName() - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder: string indices_output_tensor_name = 3;
clearIndicesTensorName() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder: The indices Tensor must have dtype int64 and shape [?
clearInferShapes() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: Annotate each Node with Op output shape data, to the extent it can be statically inferred.
clearInitializerName() - 类中的方法org.tensorflow.framework.VariableDef.Builder: Name of the initializer op.
clearInitialValueName() - 类中的方法org.tensorflow.framework.VariableDef.Builder: Name of the tensor holding the variable's initial value.
clearInput() - 类中的方法org.tensorflow.framework.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
clearInput() - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder: Input data.
clearInput() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Input data.
clearInput() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder: Input data.
clearInputArg() - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the input(s).
clearInputCount() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: int32 input_count = 6;
clearInputInfo() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
clearInputs() - 类中的方法org.tensorflow.framework.SignatureDef.Builder
clearInputs() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
clearInputs() - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder
clearInstanceKey() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: int32 instance_key = 7;
clearInstanceKey() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder: int32 instance_key = 1;
clearInt64List() - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.Int64List int64_list = 3;
clearInt64List() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
clearInt64Val() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_INT64 repeated int64 int64_val = 10 [packed = true];
clearInterOpParallelismThreads() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process. 0 means the system picks an appropriate number.
clearInterOpThreadPool() - 类中的方法org.tensorflow.framework.RunOptions.Builder: The thread pool to use, if session_inter_op_thread_pool is configured.
clearIntraOpParallelismThreads() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads. 0 means the system picks an appropriate number.
clearIntVal() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
clearIsAggregate() - 类中的方法org.tensorflow.framework.OpDef.Builder: If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
clearIsCommutative() - 类中的方法org.tensorflow.framework.OpDef.Builder: True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18;
clearIsDead() - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder: True if value is 'dead' like a tensor.
clearIsDead() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder: If true, this tensor was the output of a dead node, and the content is invalid.
clearIsFinal() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: If true, the output is permanent: it can't be discarded, because this node is part of the "final output".
clearIsLastPartialRun() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: True if this is the last partial run request in a sequence of requests.
clearIsolateSessionState() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder: If true, any resources such as Variables used in the session will not be shared with other sessions.
clearIsolateSessionState() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: If true, any resources such as Variables used in the session will not be shared with other sessions.
clearIsPartial() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: True if the RunGraphRequest is a partial run request.
clearIsRef() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: For inputs: if true, the inputs are required to be refs.
clearIsResource() - 类中的方法org.tensorflow.framework.VariableDef.Builder: Whether to represent this as a ResourceVariable.
clearIsSource() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: bool is_source = 11;
clearIsStateful() - 类中的方法org.tensorflow.framework.OpDef.Builder: Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g. variable reading op) or if they have a side-effect (e.g. printing or asserting ops).
clearItem() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
clearJob() - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
clearJobName() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The name of the job of which this server is a member.
clearKeepAliveSecs() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: Number of seconds to keep the context alive.
clearKeepCheckpointEveryNHours() - 类中的方法org.tensorflow.util.SaverDef.Builder: How often to keep an additional checkpoint.
clearKernel() - 类中的方法org.tensorflow.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
clearKernelName() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
clearKernelName() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
clearKeys() - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder: Keys for tensors in the VariantTensorDataProto.
clearKind() - 类中的方法org.tensorflow.example.Feature.Builder
clearKind() - 类中的方法org.tensorflow.framework.CollectionDef.Builder
clearKind() - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder
clearKind() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
clearL1CacheSize() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: L1 cache size in bytes int64 l1_cache_size = 8;
clearL2CacheSize() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: L2 cache size in bytes int64 l2_cache_size = 9;
clearL3CacheSize() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: L3 cache size in bytes int64 l3_cache_size = 10;
clearLabel() - 类中的方法org.tensorflow.framework.KernelDef.Builder: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
clearLabel() - 类中的方法tensorflow.serving.Classification.Class.Builder: Label or name of the class.
clearLastModified() - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: The timestamp at which the source code file is last modified.
clearLatest() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest latest = 100;
clearLayoutOptimizer() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Optimize tensor layouts (default is ON) e.g.
clearLength() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder: int64 length = 2;
clearLengthFrames() - 类中的方法org.tensorflow.framework.Summary.Audio.Builder: Length of the audio in frames (samples per channel).
clearLibrary() - 类中的方法org.tensorflow.framework.GraphDef.Builder: EXPERIMENTAL.
clearLines() - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
clearLink() - 类中的方法org.tensorflow.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
clearLinks() - 类中的方法org.tensorflow.framework.DeviceLocality.Builder: Optional local interconnect links to other devices.
clearList() - 类中的方法org.tensorflow.framework.AttrValue.Builder: any "list(...)"
clearLiveBytes() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: The bytes that are not deallocated.
clearLocalDevice() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes local_device = 1;
clearLocality() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
clearLocalName() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder: A user-provided name for the edge.
clearLogCollectorConfig() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder: .tensorflow.serving.LogCollectorConfig log_collector_config = 1;
clearLogDevicePlacement() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Whether device placements should be logged.
clearLoggingConfig() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Configures logging requests and responses, to the model.
clearLogMetadata() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.LogMetadata log_metadata = 1;
clearLogType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
clearLoopEnterNames() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: List of names for enter tensors.
clearLoopExitNames() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: List of names for exit tensors.
clearLoopOptimization() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Loop optimizations (default is ON).
clearMax() - 类中的方法org.tensorflow.framework.HistogramProto.Builder: double max = 2;
clearMaxByteSize() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder: repeated int32 max_byte_size = 2;
clearMaxFoldedConstantInBytes() - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder: Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
clearMaximumIterationsName() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Optional name of the maximum_iterations tensor.
clearMaxToKeep() - 类中的方法org.tensorflow.util.SaverDef.Builder: Maximum number of checkpoints to keep.
clearMaybeTypeName() - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: For debug-only, the name of the type pointed to by this handle, if available.
clearMemory() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
clearMemoryLimit() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: Memory capacity of device in bytes.
clearMemoryLimitMb() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder: Per "virtual" device memory limit, in MB.
clearMemoryOptimization() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Configures memory optimization passes through the meta-optimizer.
clearMemoryOptimizerTargetNodeNameScope() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: A node name scope for node names which are valid outputs of recompuations.
clearMemorySize() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Memory size in bytes int64 memory_size = 12;
clearMemoryStats() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
clearMemoryTime() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Analytical estimate of the memory access cost of this node, in microseconds.
clearMetadata() - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Returned metadata if requested in the options.
clearMetadata() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: Returned metadata if requested in the options.
clearMetadata() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
clearMetadata() - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Portions of the object that are not Tensors.
clearMetadata() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
clearMetadata() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: Returned metadata if requested in the options.
clearMetadataField() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder: Metadata fields to get.
clearMetaGraphs() - 类中的方法org.tensorflow.framework.SavedModel.Builder: One or more MetaGraphs.
clearMetaGraphVersion() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: User specified Version string.
clearMetaInfoDef() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
clearMetaOptimizerIterations() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Controls how many times we run the optimizers in meta optimizer (default is once).
clearMethodName() - 类中的方法org.tensorflow.framework.SignatureDef.Builder: Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.
clearMethodName() - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder: Signature's method_name.
clearMin() - 类中的方法org.tensorflow.framework.HistogramProto.Builder: double min = 1;
clearMinConsumer() - 类中的方法org.tensorflow.framework.VersionDef.Builder: Any consumer below this version is not allowed to consume this data.
clearMinGraphNodes() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: The minimum number of nodes in a graph to optimizer.
clearMinimum() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: int64 minimum = 6;
clearModel() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Model (Haswell, K40, ...)
clearModelConfigList() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder: .tensorflow.serving.ModelConfigList model_config_list = 1;
clearModelPlatform() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Type of model (e.g.
clearModelSpec() - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder: Model Specification.
clearModelSpec() - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder: Effective Model Specification used for classification.
clearModelSpec() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder: Model Specification indicating which model we are querying for metadata.
clearModelSpec() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder: Model Specification indicating which model this metadata belongs to.
clearModelSpec() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder: Model Specification.
clearModelSpec() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.ModelSpec model_spec = 1;
clearModelSpec() - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder: Model Specification.
clearModelSpec() - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder: .tensorflow.serving.ModelSpec model_spec = 1;
clearModelSpec() - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Model Specification.
clearModelSpec() - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder: Effective Model Specification used to process PredictRequest.
clearModelSpec() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder: Model Specification.
clearModelSpec() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder: Effective Model Specification used for regression.
clearModelSpec() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Model Specification.
clearModelType() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: 已过时。
clearModelVersionPolicy() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Version policy for the model indicating which version(s) of the model to load and make available for serving simultaneously.
clearModelVersionStatus() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder: Version number and status information for applicable model version(s).
clearMultiInferenceLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.MultiInferenceLog multi_inference_log = 4;
clearName() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: string name = 1;
clearName() - 类中的方法org.tensorflow.distruntime.JobDef.Builder: The name of this job.
clearName() - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder: string name = 1;
clearName() - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: string name = 1;
clearName() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
clearName() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: The name of the node.
clearName() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: Fully specified name of the device within a cluster.
clearName() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: string name = 1;
clearName() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder: string name = 1;
clearName() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder: string name = 1;
clearName() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: string name = 1;
clearName() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder: Name of an attr from the Op.
clearName() - 类中的方法org.tensorflow.framework.NameAttrList.Builder: string name = 1;
clearName() - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder: Name of the tensor.
clearName() - 类中的方法org.tensorflow.framework.NodeDef.Builder: The name given to this operator.
clearName() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: Name for the input/output.
clearName() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: A descriptive name for the argument.
clearName() - 类中的方法org.tensorflow.framework.OpDef.Builder: Op names starting with an underscore are reserved for internal use.
clearName() - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: Unique name of this resource.
clearName() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder: string name = 1;
clearName() - 类中的方法org.tensorflow.framework.TensorInfo.Builder: For dense `Tensor`s, the name of the tensor in the graph.
clearName() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder: Optional name of the tensor dimension.
clearName() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder: A name for the Tensor.
clearName() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder: string name = 1;
clearName() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: string name = 2;
clearName() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: Required servable name.
clearName() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Name of the model.
clearNestedContexts() - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
clearNestedContexts() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
clearNewGraphVersion() - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder: The new version number for the extended graph, to be used in the next call to ExtendSession.
clearNextStepId() - 类中的方法org.tensorflow.distruntime.StepSequence.Builder: int64 next_step_id = 2;
clearNode() - 类中的方法org.tensorflow.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
clearNode() - 类中的方法org.tensorflow.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
clearNodeDef() - 类中的方法org.tensorflow.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
clearNodeId() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: int32 node_id = 2;
clearNodeId() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: int32 node_id = 2;
clearNodeId() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder: int32 node_id = 1;
clearNodeId() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder: int32 node_id = 1;
clearNodeId() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder: int32 node_id = 1;
clearNodeId() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder: An index into `CheckpointableObjectGraph.nodes`, indicating the object being referenced.
clearNodeInfo() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
clearNodeInput() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
clearNodeInputInfo() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
clearNodeList() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
clearNodeName() - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: Name of the node to watch.
clearNodeName() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: TODO(tucker): Use some more compact form of node identity than the full string name.
clearNodeName() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: This field is deprecated and will not be set.
clearNodeOutputInfo() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
clearNodes() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
clearNodeStats() - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
clearNum() - 类中的方法org.tensorflow.framework.HistogramProto.Builder: double num = 3;
clearNumaNode() - 类中的方法org.tensorflow.framework.DeviceLocality.Builder: Optional NUMA locality of device.
clearNumberAttr() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: if specified, attr must have type "int" string number_attr = 5;
clearNumBytes() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Size of value expected, must agree with BufRendezvous entry.
clearNumBytes() - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder: Byte length of buf_ptr field, if set.
clearNumBytes() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder: Number of bytes in the allocation.
clearNumChannels() - 类中的方法org.tensorflow.framework.Summary.Audio.Builder: Number of channels of audio.
clearNumCores() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Number of cores int64 num_cores = 5;
clearNumDevToDevCopyStreams() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: If > 1, the number of device-to-device copy streams to create for each GPUDevice.
clearNumRecordsProduced() - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder: int64 num_records_produced = 3;
clearNumRegisters() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Number of registers per core.
clearNumReplicas() - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder: int32 num_replicas = 2;
clearNumShards() - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder: Number of data files in the bundle.
clearNumTasks() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: number of distinct tasks hosting the devices int32 num_tasks = 4;
clearNumThreads() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder: The number of threads in the pool. 0 means the system picks a value based on where this option proto is used (see the declaration of the specific field for more info).
clearNumVersions() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder: Number of latest versions to serve.
clearObsoleteOldStyleHistogram() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: bytes obsolete_old_style_histogram = 3;
clearOffset() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: int64 offset = 4;
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.CleanupAllResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.CloseSessionResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.GetStatusRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.JobDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.ResetResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.ServerDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.StepSequence.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.distruntime.TracingResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.example.BytesList.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.example.Example.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.example.Feature.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.example.FeatureList.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.example.FeatureLists.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.example.Features.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.example.FloatList.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.example.Int64List.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.example.SequenceExample.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.AllocationDescription.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.AllocationRecord.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.ApiDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.ApiDefs.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.AssetFileDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.AttrValue.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.CallableOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.CollectionDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.CondContextDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.ConfigProto.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.CostGraphDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.DebugOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.DeviceLocality.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.FunctionDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.GPUOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.GradientDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.GraphDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.GraphOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.HistogramProto.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.InterconnectLink.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.KernelDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.KernelList.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.LocalLinks.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.MemoryStats.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.NameAttrList.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.NodeDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.NodeOutput.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.OpDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.OpDeprecation.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.OpList.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.RPCOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.RunMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.RunOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.RunOptions.Experimental.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.SavedModel.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.SignatureDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.StepStats.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.Summary.Audio.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.Summary.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.Summary.Image.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.Summary.Value.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.SummaryDescription.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.TensorConnection.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.TensorDescription.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.TensorInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.TensorProto.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.ValuesDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.VariableDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.VersionDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法org.tensorflow.util.SaverDef.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.Classification.Class.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.Classification.Classifications.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.Model.ModelSpec.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.serving.Status.StatusProto.Builder
clearOneof(Descriptors.OneofDescriptor) - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder
clearOp() - 类中的方法org.tensorflow.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
clearOp() - 类中的方法org.tensorflow.framework.KernelDef.Builder: Must match the name of an Op.
clearOp() - 类中的方法org.tensorflow.framework.NodeDef.Builder: The operation name.
clearOp() - 类中的方法org.tensorflow.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
clearOpEndRelMicros() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 op_end_rel_micros = 4;
clearOpEndRelNanos() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 op_end_rel_nanos = 15;
clearOperation() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder: Name of the operation making the allocation.
clearOperation() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder: Name of the operation making the deallocation.
clearOperation() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder: .tensorflow.eager.Operation operation = 2;
clearOperationTimeoutInMs() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Global timeout for all blocking operations in this session.
clearOpId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder: The ID of the operation that produced this tensor.
clearOpId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: All remote tensors are identified by <Op ID, Output num>.
clearOpId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder: Ids to wait on.
clearOpStartRelMicros() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 op_start_rel_micros = 3;
clearOpStartRelNanos() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 op_start_rel_nanos = 14;
clearOptimizerOptions() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: Options controlling how graph is optimized.
clearOptimizers() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
clearOptions() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder: Options that define the behavior of the created callable.
clearOptions() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Options for the run call.
clearOptions() - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder: .tensorflow.TraceOpts options = 1;
clearOptions() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Options for the run call.
clearOptLevel() - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder: Overall optimization level.
clearOriginalVariableNodeId() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder: An index into `CheckpointableObjectGraph.nodes`, indicating the variable object this slot was created for.
clearOutArg() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
clearOutput() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
clearOutputArg() - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the output(s).
clearOutputCount() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: int32 output_count = 7;
clearOutputFilter() - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Output filter.
clearOutputInfo() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
clearOutputNum() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder: The index into the outputs of the operation that produced this tensor.
clearOutputPartitionGraphs() - 类中的方法org.tensorflow.framework.RunOptions.Builder: Whether the partition graph(s) executed by the executor(s) should be outputted via RunMetadata.
clearOutputPort() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder: int32 output_port = 2;
clearOutputs() - 类中的方法org.tensorflow.framework.SignatureDef.Builder
clearOutputs() - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder
clearOutputSlot() - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: Output slot to watch.
clearPaddingId() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: int32 padding_id = 5;
clearParallelIterations() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: The number of iterations allowed to run in parallel.
clearParameterMap() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
clearPartialRunHandle() - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder: The unique handle corresponding to the ongoing partial run call setup by the invocation to PartialRunSetup.
clearPartialRunHandle() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Partial run handle (optional).
clearPartitionGraph() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: repeated .tensorflow.GraphDef partition_graph = 4;
clearPartitionGraphs() - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
clearPeakBytes() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: int64 peak_bytes = 3;
clearPerProcessGpuMemoryFraction() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: Fraction of the available GPU memory to allocate for each process. 1 means to allocate all of the GPU memory, 0.5 means the process allocates up to ~50% of the available GPU memory.
clearPersistentMemorySize() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Persistent memory used by this node.
clearPersistentMemorySize() - 类中的方法org.tensorflow.framework.MemoryStats.Builder: int64 persistent_memory_size = 3;
clearPersistentTensorAllocIds() - 类中的方法org.tensorflow.framework.MemoryStats.Builder: repeated int64 persistent_tensor_alloc_ids = 5;
clearPhysicalDeviceDesc() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: String representation of the physical device that this device maps to.
clearPivotForBodyName() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Name of the pivot_for_body tensor.
clearPivotForPredName() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Name of the pivot_for_pred tensor.
clearPivotName() - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Name of the pivot tensor.
clearPivotName() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Name of the pivot tensor.
clearPlaceholder() - 类中的方法org.tensorflow.framework.AttrValue.Builder: This is a placeholder only used in nodes defined inside a function.
clearPlacementPeriod() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Assignment of Nodes to Devices is recomputed every placement_period steps until the system warms up (at which point the recomputation typically slows down automatically).
clearPlacePrunedGraph() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: Only place the subgraphs that are run, rather than the entire graph.
clearPlatformConfigs() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
clearPluginData() - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
clearPluginName() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder: The name of the plugin this data pertains to.
clearPolicyChoice() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
clearPollingActiveDelayUsecs() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.
clearPollingInactiveDelayMsecs() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: This field is deprecated and ignored.
clearPrecedingNode() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder: int32 preceding_node = 1;
clearPrecedingPort() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder: int32 preceding_port = 2;
clearPredictLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.PredictLog predict_log = 6;
clearPredName() - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Name of the pred tensor.
clearProducer() - 类中的方法org.tensorflow.framework.VersionDef.Builder: The version of the code that produced this data.
clearProperties() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
clearProtocol() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The protocol to be used by this server.
clearPtr() - 类中的方法org.tensorflow.framework.AllocationDescription.Builder: Address of the allocation.
clearPtr() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder: Address of the allocation.
clearQueue() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder: repeated .tensorflow.eager.QueueItem queue = 3;
clearQueueClosedExceptionTypes() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
clearQueueName() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: Queue name.
clearQueueResponse() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder: A single operation response for every item in the request.
clearRecordCosts() - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder: bool record_costs = 1;
clearRecordPartitionGraphs() - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder: bool record_partition_graphs = 4;
clearRecordTimeline() - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder: bool record_timeline = 3;
clearRecv() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
clearRecvKey() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: repeated string recv_key = 4;
clearReferencedTensor() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
clearRegressionResult() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.RegressionResult regression_result = 3;
clearRegressions() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder: repeated .tensorflow.serving.Regression regressions = 1;
clearRegressLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.RegressLog regress_log = 3;
clearRemapping() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
clearRemoteDevice() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes remote_device = 2;
clearRemoteGraph() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Definition of remote graph .tensorflow.GraphDef remote_graph = 1;
clearRenameTo() - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder: Change the name used to access this arg in the API from what is used in the GraphDef.
clearRenameTo() - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: Change the name used to access this attr in the API from what is used in the GraphDef.
clearRendezvousId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: This ID will be used for all future communications.
clearRendezvousKey() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: A key identifying the channel to receive tensors from.
clearReportTensorAllocationsUponOom() - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder: bool report_tensor_allocations_upon_oom = 5;
clearReportTensorAllocationsUponOom() - 类中的方法org.tensorflow.framework.RunOptions.Builder: When enabled, causes tensor allocation information to be included in the error message when the Run() call fails because the allocator ran out of memory (OOM).
clearRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder: .tensorflow.serving.ClassificationRequest request = 1;
clearRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder: .tensorflow.serving.MultiInferenceRequest request = 1;
clearRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder: .tensorflow.serving.PredictRequest request = 1;
clearRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder: .tensorflow.serving.RegressionRequest request = 1;
clearRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder: .tensorflow.serving.SessionRunRequest request = 1;
clearRequestedBytes() - 类中的方法org.tensorflow.framework.AllocationDescription.Builder: Total number of bytes requested int64 requested_bytes = 1;
clearRequestId() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Depending on the RPC system in use, it may be necessary to set this id to detect resends of RPCs where the server is not aware that the prior RPC failed.
clearRequestId() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Unique identifier for this request.
clearResetDiskByteUsage() - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Whether the total disk usage of tfdbg is to be reset to zero in this Session.run call.
clearResourceHandleVal() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
clearResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder: .tensorflow.serving.ClassificationResponse response = 2;
clearResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder: .tensorflow.serving.MultiInferenceResponse response = 2;
clearResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder: .tensorflow.serving.PredictResponse response = 2;
clearResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder: .tensorflow.serving.RegressionResponse response = 2;
clearResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder: .tensorflow.serving.SessionRunResponse response = 2;
clearRestoreOpName() - 类中的方法org.tensorflow.util.SaverDef.Builder: The operation to run when restoring a model checkpoint.
clearResult() - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder: Result of the classification.
clearResult() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder
clearResult() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder: .tensorflow.serving.RegressionResult result = 1;
clearResults() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
clearRet() - 类中的方法org.tensorflow.framework.FunctionDef.Builder
clearRewriteOptions() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
clearRpcOptions() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
clearRunOptions() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Options that will be applied to each run.
clearS() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "string" bytes s = 2;
clearS() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(string)" repeated bytes s = 2;
clearSampleRate() - 类中的方法org.tensorflow.framework.Summary.Audio.Builder: Sample rate of the audio in Hz.
clearSamplingConfig() - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder: TODO(b/33279154): Add more metadata as mentioned in the bug.
clearSamplingConfig() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder: .tensorflow.serving.SamplingConfig sampling_config = 2;
clearSamplingRate() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder: Requests will be logged uniformly at random with this probability.
clearSavedModelSchemaVersion() - 类中的方法org.tensorflow.framework.SavedModel.Builder: The schema version of the SavedModel instance.
clearSaverDef() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: SaverDef.
clearSaveSliceInfoDef() - 类中的方法org.tensorflow.framework.VariableDef.Builder: Support for saving variables as slices of a larger variable.
clearSaveTensorName() - 类中的方法org.tensorflow.util.SaverDef.Builder: The operation to run when saving a model checkpoint.
clearScheduledMicros() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 scheduled_micros = 9;
clearScheduledNanos() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 scheduled_nanos = 17;
clearScomplexVal() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
clearScopedAllocatorOptimization() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
clearScopedAllocatorOpts() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
clearScore() - 类中的方法tensorflow.serving.Classification.Class.Builder: Score for this class (e.g., the probability the item belongs to this class).
clearSend() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Runs the graph.
clearSendStartMicros() - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder: Optional, for timeline.
clearSendStartMicros() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder: The time at which tensor was available and started to be returned.
clearSerializedExecutorParameters() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Parameters given to the executor bytes serialized_executor_parameters = 5;
clearServableName() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: 已过时。
clearServableName() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder: The servable name to supply in aspired-versions callback calls.
clearServableName() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder: The single servable name, version number and path to supply statically.
clearServables() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: The servables to monitor for new versions, and aspire.
clearServableVersionPolicy() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder: The policy to determines the number of versions of the servable to be served at the same time.
clearServerCert() - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder: public server certificate string server_cert = 2;
clearServerDef() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder: Defines the configuration of a TensorFlow worker.
clearServerDef() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: Identifies the full cluster, and this particular worker's position within.
clearServerKey() - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder: private server key for SSL string server_key = 1;
clearServerLocality() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional information on server-side device locality.
clearServerLocality() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information on server-side device locality.
clearSessionHandle() - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
clearSessionHandle() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder: The session handle to be used in subsequent calls for the created session.
clearSessionHandle() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder: Sessions are identified by a given handle.
clearSessionHandle() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder: Sessions are identified by a given handle.
clearSessionHandle() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder: The session_handle used when registering the graph.
clearSessionHandle() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
clearSessionHandle() - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder: Optional: session_handle must be returned by a CreateSession call to the same master service.
clearSessionHandle() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
clearSessionHandle() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
clearSessionHandle() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Subgraphs are scoped within one session.
clearSessionHandle() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
clearSessionHandle() - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
clearSessionHandle() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: session_handle is the master-generated unique id for this session.
clearSessionHandle() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
clearSessionInterOpThreadPool() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
clearSessionRunLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.SessionRunLog session_run_log = 5;
clearShape() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: .tensorflow.TensorShapeProto shape = 4;
clearShape() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
clearShape() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "shape" .tensorflow.TensorShapeProto shape = 7;
clearShape() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
clearShape() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
clearShape() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: repeated int64 shape = 3;
clearShape() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder: repeated int64 shape = 2;
clearShape() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder: repeated int64 shape = 2;
clearShape() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder: .tensorflow.TensorShapeProto shape = 2;
clearShape() - 类中的方法org.tensorflow.framework.TensorDescription.Builder: Shape of the tensor.
clearShape() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
clearShape() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder: repeated .tensorflow.TensorShapeProto shape = 1;
clearShapeOptimization() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Shape optimizations (default is ON) Simplify computations made on shapes.
clearShapesOutputTensorName() - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder: string shapes_output_tensor_name = 4;
clearSharded() - 类中的方法org.tensorflow.util.SaverDef.Builder: Shard the save files, one per device that has Variable nodes.
clearShardId() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
clearSharedMemorySizePerMultiprocessor() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Shared memory size per multiprocessor in bytes.
clearSignature() - 类中的方法org.tensorflow.framework.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
clearSignatureDef() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
clearSignatureDef() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
clearSignatureName() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: A named signature to evaluate.
clearSimpleValue() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: float simple_value = 2;
clearSize() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder: int64 size = 1;
clearSize() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder: Size of the tensor in that dimension.
clearSize() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: int64 size = 5;
clearSlices() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
clearSlot() - 类中的方法org.tensorflow.framework.NodeOutput.Builder: int32 slot = 1;
clearSlotName() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder: The name of the slot (e.g.
clearSlotVariableNodeId() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder: An index into `CheckpointableObjectGraph.nodes`, indicating the `Object` with the value of the slot variable.
clearSlotVariables() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Slot variables owned by this object.
clearSnapshotName() - 类中的方法org.tensorflow.framework.VariableDef.Builder: Name of the snapshot tensor.
clearSocOpId() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: int32 soc_op_id = 4;
clearSourceAdapterConfig() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder: The config proto for a SourceAdapter in the StoragePathSourceAdapter registry.
clearSourceFiles() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder: A collection of source code files.
clearSourceRank() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder: int32 source_rank = 2;
clearSpecific() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific specific = 102;
clearSrcDevice() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional, for annotating the timeline.
clearStart() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder: Start index of the slice, starting at 0.
clearState() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder: Model state.
clearStatus() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder: Model status.
clearStatus() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder: .tensorflow.serving.StatusProto status = 1;
clearStatusCode() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.
clearStatusCode() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.
clearStatusErrorMessage() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: string status_error_message = 6;
clearStatusErrorMessage() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: string status_error_message = 4;
clearStep() - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder: repeated .tensorflow.LabeledStepStats step = 1;
clearStepId() - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder: int64 step_id = 1;
clearStepId() - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder: int64 step_id = 1;
clearStepId() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Used at server side to find the correct BufRendezvous.
clearStepId() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: The step in which the tensor will be produced.
clearStepId() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: A unique ID to distinguish different runs of the same graph.
clearStepId() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder: Process-unique step id.
clearStepId() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder: Process-unique step id.
clearStepId() - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder: Process-unique step id.
clearStepId() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder: Process-unique step id.
clearStepId() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder: Process-unique step id.
clearStepSequence() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder: repeated .tensorflow.StepSequence step_sequence = 1;
clearStepStats() - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder: .tensorflow.StepStats step_stats = 2;
clearStepStats() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.
clearStepStats() - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Statistics traced for this step.
clearStoreErrorsInResponseBody() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: If true then some errors, e.g., execution errors that have long error messages, may return an OK RunGraphResponse with the actual error saved in the status_code/status_error_message fields of the response body.
clearStoreErrorsInResponseBody() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: If true then some errors, e.g., execution errors that have long error messages, may return an OK RunStepResponse with the actual error saved in the status_code/status_error_message fields of the response body.
clearStrength() - 类中的方法org.tensorflow.framework.InterconnectLink.Builder: int32 strength = 3;
clearStringVal() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_STRING repeated bytes string_val = 8;
clearStrippedDefaultAttrs() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: A flag to denote whether default-valued attrs have been stripped from the nodes in this graph_def.
clearStrippedOpList() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
clearSubdivOffset() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: repeated int32 subdiv_offset = 9;
clearSum() - 类中的方法org.tensorflow.framework.HistogramProto.Builder: double sum = 4;
clearSummary() - 类中的方法org.tensorflow.framework.ApiDef.Builder: One-line human-readable description of what the Op does.
clearSummary() - 类中的方法org.tensorflow.framework.OpDef.Builder: One-line human-readable description of what the Op does.
clearSummaryDescription() - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder: Longform readable description of the summary sequence.
clearSumSquares() - 类中的方法org.tensorflow.framework.HistogramProto.Builder: double sum_squares = 5;
clearSwapMemory() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Whether GPU-CPU memory swap is enabled for this loop.
clearTag() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: Tag name for the data.
clearTags() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
clearTarget() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder: The target string used from the client's perspective.
clearTarget() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Target Nodes.
clearTarget() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Target Nodes.
clearTarget() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Target Nodes.
clearTarget() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Target Nodes.
clearTaskIndex() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The task index of this server in its job.
clearTaskName() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: task name prefixes of device_names repeated string task_name = 6;
clearTasks() - 类中的方法org.tensorflow.distruntime.JobDef.Builder
clearTasks() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Inference tasks.
clearTempMemorySize() - 类中的方法org.tensorflow.framework.MemoryStats.Builder: int64 temp_memory_size = 1;
clearTemporaryMemorySize() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Temporary memory used by this node.
clearTensor() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder: The tensor as a proto.
clearTensor() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
clearTensor() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "tensor" .tensorflow.TensorProto tensor = 8;
clearTensor() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
clearTensor() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder: Allocated tensor details.
clearTensor() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder: Output tensor details.
clearTensor() - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
clearTensor() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
clearTensor() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
clearTensorConnection() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be connected in the callable.
clearTensorContent() - 类中的方法org.tensorflow.framework.TensorProto.Builder: Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
clearTensorContent() - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder: bytes tensor_content = 1;
clearTensorDescription() - 类中的方法org.tensorflow.framework.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
clearTensorflowGitVersion() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: The __git_version__ string of the tensorflow build used to write this graph.
clearTensorflowVersion() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: The __version__ string of the tensorflow build used to write this graph.
clearTensorInfo() - 类中的方法org.tensorflow.framework.AssetFileDef.Builder: The tensor to bind the asset filename to.
clearTensors() - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
clearTensors() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
clearTensorShape() - 类中的方法org.tensorflow.framework.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
clearTensorShape() - 类中的方法org.tensorflow.framework.TensorProto.Builder: Shape of the tensor.
clearThreadId() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: uint32 thread_id = 10;
clearTimelineLabel() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: string timeline_label = 8;
clearTimelineStep() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: If > 0, record a timeline every this many steps.
clearTimeoutInMs() - 类中的方法org.tensorflow.framework.RunOptions.Builder: Time to wait for operation to complete in milliseconds.
clearTolerateDebugOpCreationFailures() - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: Do not error out if debug op creation fails (e.g., due to dtype incompatibility).
clearTotalBytes() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: These are per-node allocator memory stats.
clearToTensor() - 类中的方法org.tensorflow.framework.TensorConnection.Builder: A tensor name.
clearTraceLevel() - 类中的方法org.tensorflow.framework.RunOptions.Builder: .tensorflow.RunOptions.TraceLevel trace_level = 1;
clearTrainable() - 类中的方法org.tensorflow.framework.VariableDef.Builder: Whether this variable should be trained.
clearTransportOptions() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional, implementation-specific data.
clearTransportOptions() - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder: Optional, implementation-specific data.
clearTransportOptions() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information needed by the RPC subsystem.
clearTransportOptions() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder: Optional additional information about how to receive the tensor, e.g. in the event that `RecvTensorRequest.dma_ok` was true.
clearType() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: int32 type = 2;
clearType() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "type" .tensorflow.DataType type = 6;
clearType() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
clearType() - 类中的方法org.tensorflow.framework.InterconnectLink.Builder: string type = 2;
clearType() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
clearType() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
clearType() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Device type (CPU, GPU, ...)
clearType() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder: Identifies the type of the LogCollector we will use to collect these logs.
clearTypeAttr() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: if specified, attr must have type "type" string type_attr = 4;
clearTypeHint() - 类中的方法org.tensorflow.framework.SummaryDescription.Builder: Hint on how plugins should process the data in this series.
clearTypeListAttr() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
clearTypeName() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: string type_name = 3;
clearTypeName() - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Name of the type of objects being serialized.
clearUint32Val() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
clearUint64Val() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
clearUnknownRank() - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder: If true, the number of dimensions in the shape is unknown.
clearUseExtendedProfiler() - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder: If true, capture extended profiling events from TensorFlow process.
clearUseGpuProfiler() - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder: If true, capture GPU profiling events locally on each machine.
clearUseKernelProfiler() - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder: If true, capture kernel events from each worker.
clearUsePerSessionThreads() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: If true, use a new set of threads for this session rather than the global pool of threads.
clearUseRpcForInprocessMaster() - 类中的方法org.tensorflow.framework.RPCOptions.Builder: If true, always use RPC to contact the session target.
clearUseSampleProfiler() - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder: If true, collect sampled profile events.
clearUseStepProfiler() - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder: If true, capture step profile locally in each worker.
clearUseUnifiedMemory() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: If true, uses CUDA unified memory for memory allocations.
clearValue() - 类中的方法org.tensorflow.example.BytesList.Builder: repeated bytes value = 1;
clearValue() - 类中的方法org.tensorflow.example.FloatList.Builder: repeated float value = 1 [packed = true];
clearValue() - 类中的方法org.tensorflow.example.Int64List.Builder: repeated int64 value = 1 [packed = true];
clearValue() - 类中的方法org.tensorflow.framework.AttrValue.Builder
clearValue() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
clearValue() - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder: repeated bytes value = 1;
clearValue() - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder: repeated float value = 1 [packed = true];
clearValue() - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder: repeated int64 value = 1 [packed = true];
clearValue() - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder: repeated string value = 1;
clearValue() - 类中的方法org.tensorflow.framework.Summary.Builder: Set of values for the summary.
clearValue() - 类中的方法org.tensorflow.framework.Summary.Value.Builder
clearValue() - 类中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder: float value = 1;
clearValues() - 类中的方法org.tensorflow.framework.ValuesDef.Builder: Value names that have been seen in this context.
clearValuesDef() - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Values and external values in control flow context.
clearValuesDef() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Values and external values in control flow context.
clearValuesOutputTensorName() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: string values_output_tensor_name = 4;
clearValuesOutputTensorName() - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder: string values_output_tensor_name = 2;
clearValuesTensorName() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder: The shape of the values Tensor is [?].
clearVariableName() - 类中的方法org.tensorflow.framework.VariableDef.Builder: Name of the variable tensor.
clearVariantVal() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
clearVarLenFeature() - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
clearVarOffset() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Offset of this variable into the full variable.
clearVarShape() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Shape of this variable.
clearVendor() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Vendor (Intel, nvidia, ...)
clearVersion() - 类中的方法org.tensorflow.framework.GraphDef.Builder: 已过时。
clearVersion() - 类中的方法org.tensorflow.framework.OpDeprecation.Builder: First GraphDef version at which the op is disallowed.
clearVersion() - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
clearVersion() - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder: A user-specified version string.
clearVersion() - 类中的方法org.tensorflow.util.SaverDef.Builder: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
clearVersion() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder: Model version.
clearVersion() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: Use this specific version number.
clearVersionChoice() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder
clearVersionDef() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: This is the version for all the ops that will be enqueued by the client.
clearVersionLabel() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: Use the version associated with the given label.
clearVersionNum() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder: int64 version_num = 2;
clearVersionNumber() - 类中的方法org.tensorflow.framework.TensorProto.Builder: Version number.
clearVersionPath() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder: string version_path = 3;
clearVersions() - 类中的方法org.tensorflow.framework.GraphDef.Builder: Compatibility versions of the graph.
clearVersions() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder: The version numbers to serve.
clearVirtualDevices() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
clearVisibility() - 类中的方法org.tensorflow.framework.ApiDef.Builder: .tensorflow.ApiDef.Visibility visibility = 2;
clearVisibleDeviceList() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
clearWhileCtxt() - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
clearWidth() - 类中的方法org.tensorflow.framework.Summary.Image.Builder: int32 width = 2;
clearWorkFinished() - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder: int64 work_finished = 2;
clearWorkStarted() - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder: int64 work_started = 1;
CLIENT_LOCALITY_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvBufRequest
CLIENT_LOCALITY_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvTensorRequest
CLIENT_VERIFY_FIELD_NUMBER - 类中的静态变量tensorflow.serving.SslConfig.SSLConfig
clone() - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.CleanupAllResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.CloseSessionResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder
clone() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
clone() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.GetStatusRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.JobDef.Builder
clone() - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
clone() - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.ResetResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder
clone() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder
clone() - 类中的方法org.tensorflow.distruntime.StepSequence.Builder
clone() - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder
clone() - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder
clone() - 类中的方法org.tensorflow.distruntime.TracingResponse.Builder
clone() - 类中的方法org.tensorflow.example.BytesList.Builder
clone() - 类中的方法org.tensorflow.example.Example.Builder
clone() - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
clone() - 类中的方法org.tensorflow.example.Feature.Builder
clone() - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder
clone() - 类中的方法org.tensorflow.example.FeatureList.Builder
clone() - 类中的方法org.tensorflow.example.FeatureLists.Builder
clone() - 类中的方法org.tensorflow.example.Features.Builder
clone() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
clone() - 类中的方法org.tensorflow.example.FloatList.Builder
clone() - 类中的方法org.tensorflow.example.Int64List.Builder
clone() - 类中的方法org.tensorflow.example.SequenceExample.Builder
clone() - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder
clone() - 类中的方法org.tensorflow.framework.AllocationDescription.Builder
clone() - 类中的方法org.tensorflow.framework.AllocationRecord.Builder
clone() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
clone() - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder
clone() - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder
clone() - 类中的方法org.tensorflow.framework.ApiDef.Builder
clone() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
clone() - 类中的方法org.tensorflow.framework.ApiDefs.Builder
clone() - 类中的方法org.tensorflow.framework.AssetFileDef.Builder
clone() - 类中的方法org.tensorflow.framework.AttrValue.Builder
clone() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
clone() - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder
clone() - 类中的方法org.tensorflow.framework.CallableOptions.Builder
clone() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
clone() - 类中的方法org.tensorflow.framework.CollectionDef.Builder
clone() - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
clone() - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
clone() - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder
clone() - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
clone() - 类中的方法org.tensorflow.framework.CondContextDef.Builder
clone() - 类中的方法org.tensorflow.framework.ConfigProto.Builder
clone() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
clone() - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
clone() - 类中的方法org.tensorflow.framework.CostGraphDef.Builder
clone() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
clone() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
clone() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
clone() - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder
clone() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
clone() - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
clone() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
clone() - 类中的方法org.tensorflow.framework.DebugOptions.Builder
clone() - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder
clone() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder
clone() - 类中的方法org.tensorflow.framework.DeviceLocality.Builder
clone() - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder
clone() - 类中的方法org.tensorflow.framework.FunctionDef.Builder
clone() - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
clone() - 类中的方法org.tensorflow.framework.GPUOptions.Builder
clone() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
clone() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
clone() - 类中的方法org.tensorflow.framework.GradientDef.Builder
clone() - 类中的方法org.tensorflow.framework.GraphDef.Builder
clone() - 类中的方法org.tensorflow.framework.GraphOptions.Builder
clone() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
clone() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
clone() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
clone() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder
clone() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
clone() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder
clone() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
clone() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
clone() - 类中的方法org.tensorflow.framework.HistogramProto.Builder
clone() - 类中的方法org.tensorflow.framework.InterconnectLink.Builder
clone() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
clone() - 类中的方法org.tensorflow.framework.KernelDef.Builder
clone() - 类中的方法org.tensorflow.framework.KernelList.Builder
clone() - 类中的方法org.tensorflow.framework.LocalLinks.Builder
clone() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
clone() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
clone() - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder
clone() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
clone() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
clone() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
clone() - 类中的方法org.tensorflow.framework.MemoryStats.Builder
clone() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
clone() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
clone() - 类中的方法org.tensorflow.framework.NameAttrList.Builder
clone() - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder
clone() - 类中的方法org.tensorflow.framework.NodeDef.Builder
clone() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder
clone() - 类中的方法org.tensorflow.framework.NodeOutput.Builder
clone() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
clone() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
clone() - 类中的方法org.tensorflow.framework.OpDef.Builder
clone() - 类中的方法org.tensorflow.framework.OpDeprecation.Builder
clone() - 类中的方法org.tensorflow.framework.OpList.Builder
clone() - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder
clone() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder
clone() - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder
clone() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
clone() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
clone() - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder
clone() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder
clone() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
clone() - 类中的方法org.tensorflow.framework.RPCOptions.Builder
clone() - 类中的方法org.tensorflow.framework.RunMetadata.Builder
clone() - 类中的方法org.tensorflow.framework.RunOptions.Builder
clone() - 类中的方法org.tensorflow.framework.RunOptions.Experimental.Builder
clone() - 类中的方法org.tensorflow.framework.SavedModel.Builder
clone() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
clone() - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
clone() - 类中的方法org.tensorflow.framework.SignatureDef.Builder
clone() - 类中的方法org.tensorflow.framework.StepStats.Builder
clone() - 类中的方法org.tensorflow.framework.Summary.Audio.Builder
clone() - 类中的方法org.tensorflow.framework.Summary.Builder
clone() - 类中的方法org.tensorflow.framework.Summary.Image.Builder
clone() - 类中的方法org.tensorflow.framework.Summary.Value.Builder
clone() - 类中的方法org.tensorflow.framework.SummaryDescription.Builder
clone() - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder
clone() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
clone() - 类中的方法org.tensorflow.framework.TensorConnection.Builder
clone() - 类中的方法org.tensorflow.framework.TensorDescription.Builder
clone() - 类中的方法org.tensorflow.framework.TensorInfo.Builder
clone() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
clone() - 类中的方法org.tensorflow.framework.TensorProto.Builder
clone() - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder
clone() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
clone() - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder
clone() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
clone() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
clone() - 类中的方法org.tensorflow.framework.ValuesDef.Builder
clone() - 类中的方法org.tensorflow.framework.VariableDef.Builder
clone() - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
clone() - 类中的方法org.tensorflow.framework.VersionDef.Builder
clone() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder
clone() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder
clone() - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder
clone() - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder
clone() - 类中的方法org.tensorflow.util.SaverDef.Builder
clone() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
clone() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
clone() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
clone() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
clone() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
clone() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
clone() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
clone() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
clone() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
clone() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
clone() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
clone() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
clone() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
clone() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
clone() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
clone() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
clone() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
clone() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
clone() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
clone() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
clone() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
clone() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
clone() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse.Builder
clone() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
clone() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
clone() - 类中的方法tensorflow.serving.Classification.Class.Builder
clone() - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
clone() - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
clone() - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder
clone() - 类中的方法tensorflow.serving.Classification.Classifications.Builder
clone() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
clone() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
clone() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder
clone() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
clone() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder
clone() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
clone() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
clone() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
clone() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
clone() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
clone() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
clone() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
clone() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder
clone() - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder
clone() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
clone() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
clone() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
clone() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
clone() - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder
clone() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
clone() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
clone() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
clone() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
clone() - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder
clone() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
clone() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder
clone() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder
clone() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
clone() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
clone() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
clone() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
clone() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
clone() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
clone() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
clone() - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder
clone() - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder
clone() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
clone() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
clone() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
clone() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
clone() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
clone() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
clone() - 类中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder
clone() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
clone() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
clone() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
clone() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
clone() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
clone() - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
clone() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
clone() - 类中的方法tensorflow.serving.Status.StatusProto.Builder
clone() - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder
CLOSE_OP_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.QueueRunnerDef
closeContext(EagerServiceOuterClass.CloseContextRequest) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceBlockingStub: Closes the context.
closeContext(EagerServiceOuterClass.CloseContextRequest) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceFutureStub: Closes the context.
closeContext(EagerServiceOuterClass.CloseContextRequest, StreamObserver<EagerServiceOuterClass.CloseContextResponse>) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceImplBase: Closes the context.
closeContext(EagerServiceOuterClass.CloseContextRequest, StreamObserver<EagerServiceOuterClass.CloseContextResponse>) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceStub: Closes the context.
closeSession(CloseSessionRequest) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceBlockingStub: Closes a session.
closeSession(CloseSessionRequest) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceFutureStub: Closes a session.
closeSession(CloseSessionRequest, StreamObserver<CloseSessionResponse>) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceImplBase: Closes a session.
closeSession(CloseSessionRequest, StreamObserver<CloseSessionResponse>) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceStub: Closes a session.
CloseSessionRequest - org.tensorflow.distruntime中的类: Protobuf type tensorflow.CloseSessionRequest
CloseSessionRequest.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.CloseSessionRequest
CloseSessionRequestOrBuilder - org.tensorflow.distruntime中的接口
CloseSessionResponse - org.tensorflow.distruntime中的类: Protobuf type tensorflow.CloseSessionResponse
CloseSessionResponse.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.CloseSessionResponse
CloseSessionResponseOrBuilder - org.tensorflow.distruntime中的接口
CLUSTER_DEF_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ConfigProto
CLUSTER_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.ServerDef
ClusterDef - org.tensorflow.distruntime中的类: Defines a TensorFlow cluster as a set of jobs.
ClusterDef.Builder - org.tensorflow.distruntime中的类: Defines a TensorFlow cluster as a set of jobs.
ClusterDefOrBuilder - org.tensorflow.distruntime中的接口
ClusterProtos - org.tensorflow.distruntime中的类
Code - org.tensorflow.framework中的枚举: The canonical error codes for TensorFlow APIs.
COLLECTION_DEF_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MetaGraphDef
CollectionDef - org.tensorflow.framework中的类: CollectionDef should cover most collections.
CollectionDef.AnyList - org.tensorflow.framework中的类: AnyList is used for collecting Any protos.
CollectionDef.AnyList.Builder - org.tensorflow.framework中的类: AnyList is used for collecting Any protos.
CollectionDef.AnyListOrBuilder - org.tensorflow.framework中的接口
CollectionDef.Builder - org.tensorflow.framework中的类: CollectionDef should cover most collections.
CollectionDef.BytesList - org.tensorflow.framework中的类: BytesList is used for collecting strings and serialized protobufs.
CollectionDef.BytesList.Builder - org.tensorflow.framework中的类: BytesList is used for collecting strings and serialized protobufs.
CollectionDef.BytesListOrBuilder - org.tensorflow.framework中的接口
CollectionDef.FloatList - org.tensorflow.framework中的类: FloatList is used for collecting float values.
CollectionDef.FloatList.Builder - org.tensorflow.framework中的类: FloatList is used for collecting float values.
CollectionDef.FloatListOrBuilder - org.tensorflow.framework中的接口
CollectionDef.Int64List - org.tensorflow.framework中的类: Int64List is used for collecting int, int64 and long values.
CollectionDef.Int64List.Builder - org.tensorflow.framework中的类: Int64List is used for collecting int, int64 and long values.
CollectionDef.Int64ListOrBuilder - org.tensorflow.framework中的接口
CollectionDef.KindCase - org.tensorflow.framework中的枚举
CollectionDef.NodeList - org.tensorflow.framework中的类: NodeList is used for collecting nodes in graph.
CollectionDef.NodeList.Builder - org.tensorflow.framework中的类: NodeList is used for collecting nodes in graph.
CollectionDef.NodeListOrBuilder - org.tensorflow.framework中的接口
CollectionDefOrBuilder - org.tensorflow.framework中的接口
COLLECTIVE_GRAPH_KEY_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RegisterGraphRequest
COLLECTIVE_GRAPH_KEY_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RunOptions.Experimental
COLLECTIVE_GROUP_LEADER_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ConfigProto.Experimental
COLORSPACE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.Summary.Image
completeGroup(CompleteGroupRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceBlockingStub: See worker.proto for details.
completeGroup(CompleteGroupRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceFutureStub: See worker.proto for details.
completeGroup(CompleteGroupRequest, StreamObserver<CompleteGroupResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceImplBase: See worker.proto for details.
completeGroup(CompleteGroupRequest, StreamObserver<CompleteGroupResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceStub: See worker.proto for details.
CompleteGroupRequest - org.tensorflow.distruntime中的类: Supplies one or more device names as members of the group identified by group_key.
CompleteGroupRequest.Builder - org.tensorflow.distruntime中的类: Supplies one or more device names as members of the group identified by group_key.
CompleteGroupRequestOrBuilder - org.tensorflow.distruntime中的接口
CompleteGroupResponse - org.tensorflow.distruntime中的类: Gives the complete membership of the group identified by group_key.
CompleteGroupResponse.Builder - org.tensorflow.distruntime中的类: Gives the complete membership of the group identified by group_key.
CompleteGroupResponseOrBuilder - org.tensorflow.distruntime中的接口
completeInstance(CompleteInstanceRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceBlockingStub: See worker.proto for details.
completeInstance(CompleteInstanceRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceFutureStub: See worker.proto for details.
completeInstance(CompleteInstanceRequest, StreamObserver<CompleteInstanceResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceImplBase: See worker.proto for details.
completeInstance(CompleteInstanceRequest, StreamObserver<CompleteInstanceResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceStub: See worker.proto for details.
CompleteInstanceRequest - org.tensorflow.distruntime中的类: Supplies data about one collective op belonging to the instance identified by instance_key.
CompleteInstanceRequest.Builder - org.tensorflow.distruntime中的类: Supplies data about one collective op belonging to the instance identified by instance_key.
CompleteInstanceRequestOrBuilder - org.tensorflow.distruntime中的接口
CompleteInstanceResponse - org.tensorflow.distruntime中的类: Confirms that every op in the instance has consistently declared itself.
CompleteInstanceResponse.Builder - org.tensorflow.distruntime中的类: Confirms that every op in the instance has consistently declared itself.
CompleteInstanceResponseOrBuilder - org.tensorflow.distruntime中的接口
COMPUTE_COST_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef.Node
COMPUTE_TIME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef.Node
COND_CTXT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ControlFlowContextDef
CondContextDef - org.tensorflow.framework中的类: Protocol buffer representing a CondContext object.
CondContextDef.Builder - org.tensorflow.framework中的类: Protocol buffer representing a CondContext object.
CondContextDefOrBuilder - org.tensorflow.framework中的接口
CONFIG_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CreateSessionRequest
CONFIG_FIELD_NUMBER - 类中的静态变量tensorflow.serving.ModelManagement.ReloadConfigRequest
CONFIG_FIELD_NUMBER - 类中的静态变量tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
ConfigProto - org.tensorflow.framework中的类: Session configuration parameters.
ConfigProto.Builder - org.tensorflow.framework中的类: Session configuration parameters.
ConfigProto.Experimental - org.tensorflow.framework中的类: Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
ConfigProto.Experimental.Builder - org.tensorflow.framework中的类: Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
ConfigProto.ExperimentalOrBuilder - org.tensorflow.framework中的接口
ConfigProtoOrBuilder - org.tensorflow.framework中的接口
ConfigProtos - org.tensorflow.framework中的类
CONST_NODE_INFO_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferInfo
CONSTANT_FOLDING_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RewriterConfig
CONSTRAINT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.KernelDef
CONTAINER_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CleanupAllRequest
CONTAINER_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.ResetRequest
CONTAINER_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ResourceHandleProto
containsAttr(String) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: Attributes specific to this function definition.
containsAttr(String) - 类中的方法org.tensorflow.framework.FunctionDef: Attributes specific to this function definition.
containsAttr(String) - 接口中的方法org.tensorflow.framework.FunctionDefOrBuilder: Attributes specific to this function definition.
containsAttr(String) - 类中的方法org.tensorflow.framework.NameAttrList.Builder: map<string, .tensorflow.AttrValue> attr = 2;
containsAttr(String) - 类中的方法org.tensorflow.framework.NameAttrList: map<string, .tensorflow.AttrValue> attr = 2;
containsAttr(String) - 接口中的方法org.tensorflow.framework.NameAttrListOrBuilder: map<string, .tensorflow.AttrValue> attr = 2;
containsAttr(String) - 类中的方法org.tensorflow.framework.NodeDef.Builder: Operation-specific graph-construction-time configuration.
containsAttr(String) - 类中的方法org.tensorflow.framework.NodeDef: Operation-specific graph-construction-time configuration.
containsAttr(String) - 接口中的方法org.tensorflow.framework.NodeDefOrBuilder: Operation-specific graph-construction-time configuration.
containsAttrs(String) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: map<string, .tensorflow.AttrValue> attrs = 5;
containsAttrs(String) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation: map<string, .tensorflow.AttrValue> attrs = 5;
containsAttrs(String) - 接口中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder: map<string, .tensorflow.AttrValue> attrs = 5;
containsCollectionDef(String) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: collection_def: Map from collection name to collections.
containsCollectionDef(String) - 类中的方法org.tensorflow.framework.MetaGraphDef: collection_def: Map from collection name to collections.
containsCollectionDef(String) - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: collection_def: Map from collection name to collections.
containsDeviceCount(String) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
containsDeviceCount(String) - 类中的方法org.tensorflow.framework.ConfigProto: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
containsDeviceCount(String) - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
containsEnvironment(String) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1) map<string, string> environment = 6;
containsEnvironment(String) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1) map<string, string> environment = 6;
containsEnvironment(String) - 接口中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1) map<string, string> environment = 6;
containsExternalValues(String) - 类中的方法org.tensorflow.framework.ValuesDef.Builder: Value names referenced by but external to this context.
containsExternalValues(String) - 类中的方法org.tensorflow.framework.ValuesDef: Value names referenced by but external to this context.
containsExternalValues(String) - 接口中的方法org.tensorflow.framework.ValuesDefOrBuilder: Value names referenced by but external to this context.
containsFeature(String) - 类中的方法org.tensorflow.example.Features.Builder: Map from feature name to feature.
containsFeature(String) - 类中的方法org.tensorflow.example.Features: Map from feature name to feature.
containsFeature(String) - 接口中的方法org.tensorflow.example.FeaturesOrBuilder: Map from feature name to feature.
containsFeatureList(String) - 类中的方法org.tensorflow.example.FeatureLists.Builder: Map from feature name to feature list.
containsFeatureList(String) - 类中的方法org.tensorflow.example.FeatureLists: Map from feature name to feature list.
containsFeatureList(String) - 接口中的方法org.tensorflow.example.FeatureListsOrBuilder: Map from feature name to feature list.
containsFeatureMap(String) - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
containsFeatureMap(String) - 类中的方法org.tensorflow.example.ExampleParserConfiguration: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
containsFeatureMap(String) - 接口中的方法org.tensorflow.example.ExampleParserConfigurationOrBuilder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
containsFeedDevices(String) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
containsFeedDevices(String) - 类中的方法org.tensorflow.framework.CallableOptions: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
containsFeedDevices(String) - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
containsFetchDevices(String) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: map<string, string> fetch_devices = 7;
containsFetchDevices(String) - 类中的方法org.tensorflow.framework.CallableOptions: map<string, string> fetch_devices = 7;
containsFetchDevices(String) - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: map<string, string> fetch_devices = 7;
containsInputs(String) - 类中的方法org.tensorflow.framework.SignatureDef.Builder: Named input parameters.
containsInputs(String) - 类中的方法org.tensorflow.framework.SignatureDef: Named input parameters.
containsInputs(String) - 接口中的方法org.tensorflow.framework.SignatureDefOrBuilder: Named input parameters.
containsInputs(String) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Input tensors.
containsInputs(String) - 类中的方法tensorflow.serving.Predict.PredictRequest: Input tensors.
containsInputs(String) - 接口中的方法tensorflow.serving.Predict.PredictRequestOrBuilder: Input tensors.
containsMetadata(String) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder: Map of metadata field name to metadata field.
containsMetadata(String) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse: Map of metadata field name to metadata field.
containsMetadata(String) - 接口中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponseOrBuilder: Map of metadata field name to metadata field.
containsOutputs(String) - 类中的方法org.tensorflow.framework.SignatureDef.Builder: Named output parameters.
containsOutputs(String) - 类中的方法org.tensorflow.framework.SignatureDef: Named output parameters.
containsOutputs(String) - 接口中的方法org.tensorflow.framework.SignatureDefOrBuilder: Named output parameters.
containsOutputs(String) - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder: Output tensors.
containsOutputs(String) - 类中的方法tensorflow.serving.Predict.PredictResponse: Output tensors.
containsOutputs(String) - 接口中的方法tensorflow.serving.Predict.PredictResponseOrBuilder: Output tensors.
containsParameterMap(String) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder: map<string, .tensorflow.AttrValue> parameter_map = 2;
containsParameterMap(String) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer: map<string, .tensorflow.AttrValue> parameter_map = 2;
containsParameterMap(String) - 接口中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder: map<string, .tensorflow.AttrValue> parameter_map = 2;
containsPlatformConfigs(String) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder: A map from a platform name to a platform config.
containsPlatformConfigs(String) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap: A map from a platform name to a platform config.
containsPlatformConfigs(String) - 接口中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMapOrBuilder: A map from a platform name to a platform config.
containsRet(String) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
containsRet(String) - 类中的方法org.tensorflow.framework.FunctionDef: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
containsRet(String) - 接口中的方法org.tensorflow.framework.FunctionDefOrBuilder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
containsSignatureDef(String) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
containsSignatureDef(String) - 类中的方法org.tensorflow.framework.MetaGraphDef: signature_def: Map from user supplied key for a signature to a single SignatureDef.
containsSignatureDef(String) - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
containsSignatureDef(String) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder: map<string, .tensorflow.SignatureDef> signature_def = 1;
containsSignatureDef(String) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap: map<string, .tensorflow.SignatureDef> signature_def = 1;
containsSignatureDef(String) - 接口中的方法tensorflow.serving.GetModelMetadata.SignatureDefMapOrBuilder: map<string, .tensorflow.SignatureDef> signature_def = 1;
containsTasks(int) - 类中的方法org.tensorflow.distruntime.JobDef.Builder: Mapping from task ID to "hostname:port" string.
containsTasks(int) - 类中的方法org.tensorflow.distruntime.JobDef: Mapping from task ID to "hostname:port" string.
containsTasks(int) - 接口中的方法org.tensorflow.distruntime.JobDefOrBuilder: Mapping from task ID to "hostname:port" string.
CONTENT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.SummaryMetadata.PluginData
CONTENT_TYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.Summary.Audio
CONTEXT_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.SequenceExample
CONTEXT_FIELD_NUMBER - 类中的静态变量tensorflow.serving.InputOuterClass.ExampleListWithContext
CONTEXT_FIELD_NUMBER - 类中的静态变量tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
CONTEXT_ID_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
CONTEXT_ID_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
CONTEXT_ID_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
CONTEXT_ID_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
CONTEXT_ID_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
CONTEXT_ID_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
CONTEXT_ID_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
CONTEXT_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CondContextDef
CONTEXT_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.WhileContextDef
CONTROL_INPUT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef.Node
CONTROL_OP_IDS_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.Operation
ControlFlowContextDef - org.tensorflow.framework中的类: Container for any kind of control flow context.
ControlFlowContextDef.Builder - org.tensorflow.framework中的类: Container for any kind of control flow context.
ControlFlowContextDef.CtxtCase - org.tensorflow.framework中的枚举
ControlFlowContextDefOrBuilder - org.tensorflow.framework中的接口
ControlFlowProtos - org.tensorflow.framework中的类
COO_SPARSE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorInfo
COST_GRAPH_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunGraphResponse
COST_GRAPH_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RunMetadata
CostGraphDef - org.tensorflow.framework中的类: Protobuf type tensorflow.CostGraphDef
CostGraphDef.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.CostGraphDef
CostGraphDef.Node - org.tensorflow.framework中的类: Protobuf type tensorflow.CostGraphDef.Node
CostGraphDef.Node.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.CostGraphDef.Node
CostGraphDef.Node.InputInfo - org.tensorflow.framework中的类: Inputs of this node.
CostGraphDef.Node.InputInfo.Builder - org.tensorflow.framework中的类: Inputs of this node.
CostGraphDef.Node.InputInfoOrBuilder - org.tensorflow.framework中的接口
CostGraphDef.Node.OutputInfo - org.tensorflow.framework中的类: Outputs of this node.
CostGraphDef.Node.OutputInfo.Builder - org.tensorflow.framework中的类: Outputs of this node.
CostGraphDef.Node.OutputInfoOrBuilder - org.tensorflow.framework中的接口
CostGraphDef.NodeOrBuilder - org.tensorflow.framework中的接口
CostGraphDefOrBuilder - org.tensorflow.framework中的接口
CostGraphProtos - org.tensorflow.framework中的类
CRC32C_FIELD_NUMBER - 类中的静态变量org.tensorflow.util.BundleEntryProto
CREATE_WORKER_SESSION_CALLED_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.DeregisterGraphRequest
CREATE_WORKER_SESSION_CALLED_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RegisterGraphRequest
CREATE_WORKER_SESSION_CALLED_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunGraphRequest
createContext(EagerServiceOuterClass.CreateContextRequest) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceBlockingStub: This initializes the worker, informing it about the other workers in the cluster and exchanging authentication tokens which will be used in all other RPCs to detect whether the worker has restarted.
createContext(EagerServiceOuterClass.CreateContextRequest) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceFutureStub: This initializes the worker, informing it about the other workers in the cluster and exchanging authentication tokens which will be used in all other RPCs to detect whether the worker has restarted.
createContext(EagerServiceOuterClass.CreateContextRequest, StreamObserver<EagerServiceOuterClass.CreateContextResponse>) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceImplBase: This initializes the worker, informing it about the other workers in the cluster and exchanging authentication tokens which will be used in all other RPCs to detect whether the worker has restarted.
createContext(EagerServiceOuterClass.CreateContextRequest, StreamObserver<EagerServiceOuterClass.CreateContextResponse>) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceStub: This initializes the worker, informing it about the other workers in the cluster and exchanging authentication tokens which will be used in all other RPCs to detect whether the worker has restarted.
createSession(CreateSessionRequest) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceBlockingStub: Creates a session.
createSession(CreateSessionRequest) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceFutureStub: Creates a session.
createSession(CreateSessionRequest, StreamObserver<CreateSessionResponse>) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceImplBase: Creates a session.
createSession(CreateSessionRequest, StreamObserver<CreateSessionResponse>) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceStub: Creates a session.
CreateSessionRequest - org.tensorflow.distruntime中的类: Protobuf type tensorflow.CreateSessionRequest
CreateSessionRequest.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.CreateSessionRequest
CreateSessionRequestOrBuilder - org.tensorflow.distruntime中的接口
CreateSessionResponse - org.tensorflow.distruntime中的类: Protobuf type tensorflow.CreateSessionResponse
CreateSessionResponse.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.CreateSessionResponse
CreateSessionResponseOrBuilder - org.tensorflow.distruntime中的接口
createWorkerSession(CreateWorkerSessionRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceBlockingStub: See worker.proto for details.
createWorkerSession(CreateWorkerSessionRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceFutureStub: See worker.proto for details.
createWorkerSession(CreateWorkerSessionRequest, StreamObserver<CreateWorkerSessionResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceImplBase: See worker.proto for details.
createWorkerSession(CreateWorkerSessionRequest, StreamObserver<CreateWorkerSessionResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceStub: See worker.proto for details.
CreateWorkerSessionRequest - org.tensorflow.distruntime中的类: Protobuf type tensorflow.CreateWorkerSessionRequest
CreateWorkerSessionRequest.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.CreateWorkerSessionRequest
CreateWorkerSessionRequestOrBuilder - org.tensorflow.distruntime中的接口
CreateWorkerSessionResponse - org.tensorflow.distruntime中的类: Protobuf type tensorflow.CreateWorkerSessionResponse
CreateWorkerSessionResponse.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.CreateWorkerSessionResponse
CreateWorkerSessionResponseOrBuilder - org.tensorflow.distruntime中的接口
CRITICAL_SECTION_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CriticalSectionDef
CriticalSectionDef - org.tensorflow.framework中的类: Protocol buffer representing a CriticalSection.
CriticalSectionDef.Builder - org.tensorflow.framework中的类: Protocol buffer representing a CriticalSection.
CriticalSectionDefOrBuilder - org.tensorflow.framework中的接口
CriticalSectionExecutionDef - org.tensorflow.framework中的类: Protocol buffer representing a CriticalSection execution.
CriticalSectionExecutionDef.Builder - org.tensorflow.framework中的类: Protocol buffer representing a CriticalSection execution.
CriticalSectionExecutionDefOrBuilder - org.tensorflow.framework中的接口
CriticalSectionProtos - org.tensorflow.framework中的类
CURRENT_GRAPH_VERSION_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.ExtendSessionRequest
CURRENT_WORK_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ReaderBaseState
CUSTOM_CA_FIELD_NUMBER - 类中的静态变量tensorflow.serving.SslConfig.SSLConfig
CUSTOM_MODEL_CONFIG_FIELD_NUMBER - 类中的静态变量tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
CUSTOM_OPTIMIZERS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RewriterConfig

D

DATA_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferConstNodeInfo
DATA_LOSS_VALUE - 枚举中的静态变量org.tensorflow.framework.Code: Unrecoverable data loss or corruption.
DATA_TYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteInstanceRequest
DataType - org.tensorflow.framework中的枚举: LINT.IfChange Protobuf enum tensorflow.DataType
DCOMPLEX_VAL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorProto
DEADLINE_EXCEEDED_VALUE - 枚举中的静态变量org.tensorflow.framework.Code: Deadline expired before operation could complete.
DEBUG_OPS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DebugTensorWatch
DEBUG_OPTIONS_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RegisterGraphRequest
DEBUG_OPTIONS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RunOptions
DEBUG_STRIPPER_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RewriterConfig
DEBUG_TENSOR_WATCH_OPTS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DebugOptions
DEBUG_URLS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DebugTensorWatch
DebuggedSourceFile - org.tensorflow.framework中的类: Protobuf type tensorflow.DebuggedSourceFile
DebuggedSourceFile.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.DebuggedSourceFile
DebuggedSourceFileOrBuilder - org.tensorflow.framework中的接口
DebuggedSourceFiles - org.tensorflow.framework中的类: Protobuf type tensorflow.DebuggedSourceFiles
DebuggedSourceFiles.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.DebuggedSourceFiles
DebuggedSourceFilesOrBuilder - org.tensorflow.framework中的接口
DebugOptions - org.tensorflow.framework中的类: Options for initializing DebuggerState in TensorFlow Debugger (tfdbg).
DebugOptions.Builder - org.tensorflow.framework中的类: Options for initializing DebuggerState in TensorFlow Debugger (tfdbg).
DebugOptionsOrBuilder - org.tensorflow.framework中的接口
DebugProtos - org.tensorflow.framework中的类
DebugTensorWatch - org.tensorflow.framework中的类: Option for watching a node in TensorFlow Debugger (tfdbg).
DebugTensorWatch.Builder - org.tensorflow.framework中的类: Option for watching a node in TensorFlow Debugger (tfdbg).
DebugTensorWatchOrBuilder - org.tensorflow.framework中的接口
DEFAULT_GRAPH_INPUT_TENSOR_SHAPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RemoteFusedGraphExecuteInfo
DEFAULT_GRAPH_OUTPUT_TENSOR_SHAPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RemoteFusedGraphExecuteInfo
DEFAULT_MEM_OPT_VALUE - 枚举中的静态变量org.tensorflow.framework.RewriterConfig.MemOptType: The default setting (SCHEDULING and SWAPPING HEURISTICS only) DEFAULT_MEM_OPT = 0;
DEFAULT_NUM_ITERS_VALUE - 枚举中的静态变量org.tensorflow.framework.RewriterConfig.NumIterationsType: DEFAULT_NUM_ITERS = 0;
DEFAULT_SESSION_CONFIG_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.ServerDef
DEFAULT_VALUE - 枚举中的静态变量org.tensorflow.framework.OptimizerOptions.GlobalJitLevel: Default setting ("off" now, but later expected to be "on") DEFAULT = 0;
DEFAULT_VALUE - 枚举中的静态变量org.tensorflow.framework.RewriterConfig.Toggle: DEFAULT = 0;
DEFAULT_VALUE_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.FixedLenFeatureProto
DEFAULT_VALUE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ApiDef.Attr
DEFAULT_VALUE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef.AttrDef
DEFAULT_VISIBILITY_VALUE - 枚举中的静态变量org.tensorflow.framework.ApiDef.Visibility: Normally this is "VISIBLE" unless you are inheriting a different value from another ApiDef.
DEFERRED_DELETION_BYTES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GPUOptions
DEFERRED_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryLogRawDeallocation
deleteWorkerSession(DeleteWorkerSessionRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceBlockingStub: See worker.proto for details.
deleteWorkerSession(DeleteWorkerSessionRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceFutureStub: See worker.proto for details.
deleteWorkerSession(DeleteWorkerSessionRequest, StreamObserver<DeleteWorkerSessionResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceImplBase: See worker.proto for details.
deleteWorkerSession(DeleteWorkerSessionRequest, StreamObserver<DeleteWorkerSessionResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceStub: See worker.proto for details.
DeleteWorkerSessionRequest - org.tensorflow.distruntime中的类: Protobuf type tensorflow.DeleteWorkerSessionRequest
DeleteWorkerSessionRequest.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.DeleteWorkerSessionRequest
DeleteWorkerSessionRequestOrBuilder - org.tensorflow.distruntime中的接口
DeleteWorkerSessionResponse - org.tensorflow.distruntime中的类: Protobuf type tensorflow.DeleteWorkerSessionResponse
DeleteWorkerSessionResponse.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.DeleteWorkerSessionResponse
DeleteWorkerSessionResponseOrBuilder - org.tensorflow.distruntime中的接口
DENSE_SHAPE_TENSOR_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorInfo.CooSparse
DEPENDENCY_OPTIMIZATION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RewriterConfig
DEPRECATED_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ApiDef.Endpoint
DEPRECATION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef
DEPRECATION_MESSAGE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ApiDef
deregisterGraph(DeregisterGraphRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceBlockingStub: See worker.proto for details.
deregisterGraph(DeregisterGraphRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceFutureStub: See worker.proto for details.
deregisterGraph(DeregisterGraphRequest, StreamObserver<DeregisterGraphResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceImplBase: See worker.proto for details.
deregisterGraph(DeregisterGraphRequest, StreamObserver<DeregisterGraphResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceStub: See worker.proto for details.
DeregisterGraphRequest - org.tensorflow.distruntime中的类: Protobuf type tensorflow.DeregisterGraphRequest
DeregisterGraphRequest.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.DeregisterGraphRequest
DeregisterGraphRequestOrBuilder - org.tensorflow.distruntime中的接口
DeregisterGraphResponse - org.tensorflow.distruntime中的类: TODO(mrry): Optionally add summary stats for the graph.
DeregisterGraphResponse.Builder - org.tensorflow.distruntime中的类: TODO(mrry): Optionally add summary stats for the graph.
DeregisterGraphResponseOrBuilder - org.tensorflow.distruntime中的接口
DESCRIPTION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ApiDef.Arg
DESCRIPTION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ApiDef.Attr
DESCRIPTION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ApiDef
DESCRIPTION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef.ArgDef
DESCRIPTION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef.AttrDef
DESCRIPTION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef
DESCRIPTION_PREFIX_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ApiDef
DESCRIPTION_SUFFIX_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ApiDef
DESTINATION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferInfo
DEV_STATS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.StepStats
DEVICE_ATTRIBUTES_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.GetStatusResponse
DEVICE_ATTRIBUTES_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
DEVICE_COUNT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ConfigProto
DEVICE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteInstanceRequest
DEVICE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef.Node
DEVICE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DeviceStepStats
DEVICE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeDef
DEVICE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ResourceHandleProto
DEVICE_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.Operation
DEVICE_FILTERS_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.ResetRequest
DEVICE_FILTERS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ConfigProto
DEVICE_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.InterconnectLink
DEVICE_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteGroupRequest
DEVICE_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteGroupResponse
DEVICE_NAME_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
DEVICE_PERSISTENT_MEMORY_SIZE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef.Node
DEVICE_PERSISTENT_MEMORY_SIZE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryStats
DEVICE_PERSISTENT_TENSOR_ALLOC_IDS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryStats
DEVICE_TEMP_MEMORY_SIZE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef.Node
DEVICE_TEMP_MEMORY_SIZE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryStats
DEVICE_TYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteGroupRequest
DEVICE_TYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteGroupResponse
DEVICE_TYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteInstanceRequest
DEVICE_TYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DeviceAttributes
DEVICE_TYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.KernelDef
DeviceAttributes - org.tensorflow.framework中的类: Protobuf type tensorflow.DeviceAttributes
DeviceAttributes.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.DeviceAttributes
DeviceAttributesOrBuilder - org.tensorflow.framework中的接口
DeviceAttributesProtos - org.tensorflow.framework中的类
DeviceLocality - org.tensorflow.framework中的类: Protobuf type tensorflow.DeviceLocality
DeviceLocality.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.DeviceLocality
DeviceLocalityOrBuilder - org.tensorflow.framework中的接口
DevicePropertiesProtos - tensorflow中的类
DevicePropertiesProtos.DeviceProperties - tensorflow中的类: Protobuf type tensorflow.DeviceProperties
DevicePropertiesProtos.DeviceProperties.Builder - tensorflow中的类: Protobuf type tensorflow.DeviceProperties
DevicePropertiesProtos.DevicePropertiesOrBuilder - tensorflow中的接口
DevicePropertiesProtos.NamedDevice - tensorflow中的类: Protobuf type tensorflow.NamedDevice
DevicePropertiesProtos.NamedDevice.Builder - tensorflow中的类: Protobuf type tensorflow.NamedDevice
DevicePropertiesProtos.NamedDeviceOrBuilder - tensorflow中的接口
DeviceStepStats - org.tensorflow.framework中的类: Protobuf type tensorflow.DeviceStepStats
DeviceStepStats.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.DeviceStepStats
DeviceStepStatsOrBuilder - org.tensorflow.framework中的接口
DIM_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorShapeProto
DISABLE_MODEL_PRUNING_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RewriterConfig
DISABLE_RPC_LOGGING_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.LoggingRequest
DISPLAY_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.SummaryMetadata
DistributedRuntimeProtos - org.tensorflow.distruntime中的类
DMA_OK_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvTensorRequest
DO_COMMON_SUBEXPRESSION_ELIMINATION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OptimizerOptions
DO_CONSTANT_FOLDING_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OptimizerOptions
DO_FUNCTION_INLINING_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OptimizerOptions
DO_NOT_USE_RESERVED_FOR_FUTURE_EXPANSION_USE_DEFAULT_IN_SWITCH_INSTEAD__VALUE - 枚举中的静态变量org.tensorflow.framework.Code: An extra enum entry to prevent people from writing code that fails to compile when a new code is added.
DOUBLE_VAL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorProto
DST_DEVICE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvBufRequest
DT_BFLOAT16_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_BFLOAT16_REF = 114;
DT_BFLOAT16_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: Float32 truncated to 16 bits.
DT_BOOL_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_BOOL_REF = 110;
DT_BOOL_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_BOOL = 10;
DT_COMPLEX128_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_COMPLEX128_REF = 118;
DT_COMPLEX128_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: Double-precision complex DT_COMPLEX128 = 18;
DT_COMPLEX64_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_COMPLEX64_REF = 108;
DT_COMPLEX64_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: Single-precision complex DT_COMPLEX64 = 8;
DT_DOUBLE_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_DOUBLE_REF = 102;
DT_DOUBLE_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_DOUBLE = 2;
DT_FLOAT_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: Do not use!
DT_FLOAT_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: Data types that all computation devices are expected to be capable to support.
DT_HALF_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_HALF_REF = 119;
DT_HALF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_HALF = 19;
DT_INT16_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_INT16_REF = 105;
DT_INT16_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_INT16 = 5;
DT_INT32_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_INT32_REF = 103;
DT_INT32_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_INT32 = 3;
DT_INT64_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_INT64_REF = 109;
DT_INT64_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_INT64 = 9;
DT_INT8_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_INT8_REF = 106;
DT_INT8_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_INT8 = 6;
DT_INVALID_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: Not a legal value for DataType.
DT_QINT16_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_QINT16_REF = 115;
DT_QINT16_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: Quantized int16 DT_QINT16 = 15;
DT_QINT32_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_QINT32_REF = 113;
DT_QINT32_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: Quantized int32 DT_QINT32 = 13;
DT_QINT8_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_QINT8_REF = 111;
DT_QINT8_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: Quantized int8 DT_QINT8 = 11;
DT_QUINT16_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_QUINT16_REF = 116;
DT_QUINT16_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: Quantized uint16 DT_QUINT16 = 16;
DT_QUINT8_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_QUINT8_REF = 112;
DT_QUINT8_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: Quantized uint8 DT_QUINT8 = 12;
DT_RESOURCE_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_RESOURCE_REF = 120;
DT_RESOURCE_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_RESOURCE = 20;
DT_STRING_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_STRING_REF = 107;
DT_STRING_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_STRING = 7;
DT_UINT16_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_UINT16_REF = 117;
DT_UINT16_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_UINT16 = 17;
DT_UINT32_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_UINT32_REF = 122;
DT_UINT32_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_UINT32 = 22;
DT_UINT64_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_UINT64_REF = 123;
DT_UINT64_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_UINT64 = 23;
DT_UINT8_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_UINT8_REF = 104;
DT_UINT8_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_UINT8 = 4;
DT_VARIANT_REF_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: DT_VARIANT_REF = 121;
DT_VARIANT_VALUE - 枚举中的静态变量org.tensorflow.framework.DataType: Arbitrary C++ data types DT_VARIANT = 21;
DTYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.FixedLenFeatureProto
DTYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.VarLenFeatureProto
DTYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef.Node.OutputInfo
DTYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferConstNodeInfo
DTYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferGraphInputNodeInfo
DTYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
DTYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
DTYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorDescription
DTYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorInfo
DTYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorProto
DTYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.util.BundleEntryProto
DURATION_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.TraceOpts

E

EagerServiceGrpc - tensorflow.eager中的类: ////////////////////////////////////////////////////////////////////////////// Eager Service defines a TensorFlow service that executes operations eagerly on a set of local devices, on behalf of a remote Eager executor.
EagerServiceGrpc.EagerServiceBlockingStub - tensorflow.eager中的类: ////////////////////////////////////////////////////////////////////////////// Eager Service defines a TensorFlow service that executes operations eagerly on a set of local devices, on behalf of a remote Eager executor.
EagerServiceGrpc.EagerServiceFutureStub - tensorflow.eager中的类: ////////////////////////////////////////////////////////////////////////////// Eager Service defines a TensorFlow service that executes operations eagerly on a set of local devices, on behalf of a remote Eager executor.
EagerServiceGrpc.EagerServiceImplBase - tensorflow.eager中的类: ////////////////////////////////////////////////////////////////////////////// Eager Service defines a TensorFlow service that executes operations eagerly on a set of local devices, on behalf of a remote Eager executor.
EagerServiceGrpc.EagerServiceStub - tensorflow.eager中的类: ////////////////////////////////////////////////////////////////////////////// Eager Service defines a TensorFlow service that executes operations eagerly on a set of local devices, on behalf of a remote Eager executor.
EagerServiceImplBase() - 类的构造器tensorflow.eager.EagerServiceGrpc.EagerServiceImplBase
EagerServiceOuterClass - tensorflow.eager中的类
EagerServiceOuterClass.CloseContextRequest - tensorflow.eager中的类: Protobuf type tensorflow.eager.CloseContextRequest
EagerServiceOuterClass.CloseContextRequest.Builder - tensorflow.eager中的类: Protobuf type tensorflow.eager.CloseContextRequest
EagerServiceOuterClass.CloseContextRequestOrBuilder - tensorflow.eager中的接口
EagerServiceOuterClass.CloseContextResponse - tensorflow.eager中的类: Protobuf type tensorflow.eager.CloseContextResponse
EagerServiceOuterClass.CloseContextResponse.Builder - tensorflow.eager中的类: Protobuf type tensorflow.eager.CloseContextResponse
EagerServiceOuterClass.CloseContextResponseOrBuilder - tensorflow.eager中的接口
EagerServiceOuterClass.CreateContextRequest - tensorflow.eager中的类: Protobuf type tensorflow.eager.CreateContextRequest
EagerServiceOuterClass.CreateContextRequest.Builder - tensorflow.eager中的类: Protobuf type tensorflow.eager.CreateContextRequest
EagerServiceOuterClass.CreateContextRequestOrBuilder - tensorflow.eager中的接口
EagerServiceOuterClass.CreateContextResponse - tensorflow.eager中的类: Protobuf type tensorflow.eager.CreateContextResponse
EagerServiceOuterClass.CreateContextResponse.Builder - tensorflow.eager中的类: Protobuf type tensorflow.eager.CreateContextResponse
EagerServiceOuterClass.CreateContextResponseOrBuilder - tensorflow.eager中的接口
EagerServiceOuterClass.EnqueueRequest - tensorflow.eager中的类: Protobuf type tensorflow.eager.EnqueueRequest
EagerServiceOuterClass.EnqueueRequest.Builder - tensorflow.eager中的类: Protobuf type tensorflow.eager.EnqueueRequest
EagerServiceOuterClass.EnqueueRequestOrBuilder - tensorflow.eager中的接口
EagerServiceOuterClass.EnqueueResponse - tensorflow.eager中的类: Protobuf type tensorflow.eager.EnqueueResponse
EagerServiceOuterClass.EnqueueResponse.Builder - tensorflow.eager中的类: Protobuf type tensorflow.eager.EnqueueResponse
EagerServiceOuterClass.EnqueueResponseOrBuilder - tensorflow.eager中的接口
EagerServiceOuterClass.KeepAliveRequest - tensorflow.eager中的类: Protobuf type tensorflow.eager.KeepAliveRequest
EagerServiceOuterClass.KeepAliveRequest.Builder - tensorflow.eager中的类: Protobuf type tensorflow.eager.KeepAliveRequest
EagerServiceOuterClass.KeepAliveRequestOrBuilder - tensorflow.eager中的接口
EagerServiceOuterClass.KeepAliveResponse - tensorflow.eager中的类: Protobuf type tensorflow.eager.KeepAliveResponse
EagerServiceOuterClass.KeepAliveResponse.Builder - tensorflow.eager中的类: Protobuf type tensorflow.eager.KeepAliveResponse
EagerServiceOuterClass.KeepAliveResponseOrBuilder - tensorflow.eager中的接口
EagerServiceOuterClass.Operation - tensorflow.eager中的类: A proto representation of an eager operation.
EagerServiceOuterClass.Operation.Builder - tensorflow.eager中的类: A proto representation of an eager operation.
EagerServiceOuterClass.OperationOrBuilder - tensorflow.eager中的接口
EagerServiceOuterClass.QueueItem - tensorflow.eager中的类: Protobuf type tensorflow.eager.QueueItem
EagerServiceOuterClass.QueueItem.Builder - tensorflow.eager中的类: Protobuf type tensorflow.eager.QueueItem
EagerServiceOuterClass.QueueItem.ItemCase - tensorflow.eager中的枚举
EagerServiceOuterClass.QueueItemOrBuilder - tensorflow.eager中的接口
EagerServiceOuterClass.QueueResponse - tensorflow.eager中的类: Protobuf type tensorflow.eager.QueueResponse
EagerServiceOuterClass.QueueResponse.Builder - tensorflow.eager中的类: Protobuf type tensorflow.eager.QueueResponse
EagerServiceOuterClass.QueueResponseOrBuilder - tensorflow.eager中的接口
EagerServiceOuterClass.RegisterFunctionRequest - tensorflow.eager中的类: Protobuf type tensorflow.eager.RegisterFunctionRequest
EagerServiceOuterClass.RegisterFunctionRequest.Builder - tensorflow.eager中的类: Protobuf type tensorflow.eager.RegisterFunctionRequest
EagerServiceOuterClass.RegisterFunctionRequestOrBuilder - tensorflow.eager中的接口
EagerServiceOuterClass.RegisterFunctionResponse - tensorflow.eager中的类: Protobuf type tensorflow.eager.RegisterFunctionResponse
EagerServiceOuterClass.RegisterFunctionResponse.Builder - tensorflow.eager中的类: Protobuf type tensorflow.eager.RegisterFunctionResponse
EagerServiceOuterClass.RegisterFunctionResponseOrBuilder - tensorflow.eager中的接口
EagerServiceOuterClass.RemoteTensorHandle - tensorflow.eager中的类: Protobuf type tensorflow.eager.RemoteTensorHandle
EagerServiceOuterClass.RemoteTensorHandle.Builder - tensorflow.eager中的类: Protobuf type tensorflow.eager.RemoteTensorHandle
EagerServiceOuterClass.RemoteTensorHandleOrBuilder - tensorflow.eager中的接口
EagerServiceOuterClass.SendTensorRequest - tensorflow.eager中的类: Protobuf type tensorflow.eager.SendTensorRequest
EagerServiceOuterClass.SendTensorRequest.Builder - tensorflow.eager中的类: Protobuf type tensorflow.eager.SendTensorRequest
EagerServiceOuterClass.SendTensorRequestOrBuilder - tensorflow.eager中的接口
EagerServiceOuterClass.SendTensorResponse - tensorflow.eager中的类: Protobuf type tensorflow.eager.SendTensorResponse
EagerServiceOuterClass.SendTensorResponse.Builder - tensorflow.eager中的类: Protobuf type tensorflow.eager.SendTensorResponse
EagerServiceOuterClass.SendTensorResponseOrBuilder - tensorflow.eager中的接口
EagerServiceOuterClass.WaitQueueDoneRequest - tensorflow.eager中的类: Protobuf type tensorflow.eager.WaitQueueDoneRequest
EagerServiceOuterClass.WaitQueueDoneRequest.Builder - tensorflow.eager中的类: Protobuf type tensorflow.eager.WaitQueueDoneRequest
EagerServiceOuterClass.WaitQueueDoneRequestOrBuilder - tensorflow.eager中的接口
EagerServiceOuterClass.WaitQueueDoneResponse - tensorflow.eager中的类: TODO(nareshmodi): Consider adding NodeExecStats here to be able to propagate some stats.
EagerServiceOuterClass.WaitQueueDoneResponse.Builder - tensorflow.eager中的类: TODO(nareshmodi): Consider adding NodeExecStats here to be able to propagate some stats.
EagerServiceOuterClass.WaitQueueDoneResponseOrBuilder - tensorflow.eager中的接口
ENABLE_BFLOAT16_SENDRECV_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphOptions
ENABLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AutoParallelOptions
ENABLE_OP_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ScopedAllocatorOptions
ENABLE_RECV_SCHEDULING_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphOptions
ENABLE_RPC_LOGGING_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.LoggingRequest
ENCODED_AUDIO_STRING_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.Summary.Audio
ENCODED_IMAGE_STRING_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.Summary.Image
END_VALUE - 枚举中的静态变量tensorflow.serving.GetModelStatus.ModelVersionStatus.State: This servable has reached the end of its journey in the manager.
ENDIANNESS_FIELD_NUMBER - 类中的静态变量org.tensorflow.util.BundleHeaderProto
ENDPOINT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ApiDef
enqueue(EagerServiceOuterClass.EnqueueRequest) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceBlockingStub: This takes a list of Execute and DeleteTensorHandle operations and enqueues (in async mode) or executes (in sync mode) them on the remote server.
enqueue(EagerServiceOuterClass.EnqueueRequest) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceFutureStub: This takes a list of Execute and DeleteTensorHandle operations and enqueues (in async mode) or executes (in sync mode) them on the remote server.
enqueue(EagerServiceOuterClass.EnqueueRequest, StreamObserver<EagerServiceOuterClass.EnqueueResponse>) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceImplBase: This takes a list of Execute and DeleteTensorHandle operations and enqueues (in async mode) or executes (in sync mode) them on the remote server.
enqueue(EagerServiceOuterClass.EnqueueRequest, StreamObserver<EagerServiceOuterClass.EnqueueResponse>) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceStub: This takes a list of Execute and DeleteTensorHandle operations and enqueues (in async mode) or executes (in sync mode) them on the remote server.
ENQUEUE_OP_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.QueueRunnerDef
ENVIRONMENT_FIELD_NUMBER - 类中的静态变量tensorflow.DevicePropertiesProtos.DeviceProperties
equals(Object) - 类中的方法org.tensorflow.distruntime.CleanupAllRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.CleanupAllResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.CloseSessionRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.CloseSessionResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.ClusterDef
equals(Object) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.CreateSessionRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.CreateSessionResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.ExecutorOpts
equals(Object) - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.GetStatusRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.GetStatusResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.JobDef
equals(Object) - 类中的方法org.tensorflow.distruntime.LabeledStepStats
equals(Object) - 类中的方法org.tensorflow.distruntime.ListDevicesRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.LoggingRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.LoggingResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.MakeCallableRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.MakeCallableResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.RecvBufRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.RecvBufResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.RecvTensorResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.ResetRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.ResetResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.RunCallableRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.RunCallableResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.RunGraphRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.RunGraphResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.RunStepRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.RunStepResponse
equals(Object) - 类中的方法org.tensorflow.distruntime.ServerDef
equals(Object) - 类中的方法org.tensorflow.distruntime.StepSequence
equals(Object) - 类中的方法org.tensorflow.distruntime.TraceOpts
equals(Object) - 类中的方法org.tensorflow.distruntime.TracingRequest
equals(Object) - 类中的方法org.tensorflow.distruntime.TracingResponse
equals(Object) - 类中的方法org.tensorflow.example.BytesList
equals(Object) - 类中的方法org.tensorflow.example.Example
equals(Object) - 类中的方法org.tensorflow.example.ExampleParserConfiguration
equals(Object) - 类中的方法org.tensorflow.example.Feature
equals(Object) - 类中的方法org.tensorflow.example.FeatureConfiguration
equals(Object) - 类中的方法org.tensorflow.example.FeatureList
equals(Object) - 类中的方法org.tensorflow.example.FeatureLists
equals(Object) - 类中的方法org.tensorflow.example.Features
equals(Object) - 类中的方法org.tensorflow.example.FixedLenFeatureProto
equals(Object) - 类中的方法org.tensorflow.example.FloatList
equals(Object) - 类中的方法org.tensorflow.example.Int64List
equals(Object) - 类中的方法org.tensorflow.example.SequenceExample
equals(Object) - 类中的方法org.tensorflow.example.VarLenFeatureProto
equals(Object) - 类中的方法org.tensorflow.framework.AllocationDescription
equals(Object) - 类中的方法org.tensorflow.framework.AllocationRecord
equals(Object) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed
equals(Object) - 类中的方法org.tensorflow.framework.ApiDef.Arg
equals(Object) - 类中的方法org.tensorflow.framework.ApiDef.Attr
equals(Object) - 类中的方法org.tensorflow.framework.ApiDef.Endpoint
equals(Object) - 类中的方法org.tensorflow.framework.ApiDef
equals(Object) - 类中的方法org.tensorflow.framework.ApiDefs
equals(Object) - 类中的方法org.tensorflow.framework.AssetFileDef
equals(Object) - 类中的方法org.tensorflow.framework.AttrValue
equals(Object) - 类中的方法org.tensorflow.framework.AttrValue.ListValue
equals(Object) - 类中的方法org.tensorflow.framework.AutoParallelOptions
equals(Object) - 类中的方法org.tensorflow.framework.CallableOptions
equals(Object) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList
equals(Object) - 类中的方法org.tensorflow.framework.CollectionDef.BytesList
equals(Object) - 类中的方法org.tensorflow.framework.CollectionDef
equals(Object) - 类中的方法org.tensorflow.framework.CollectionDef.FloatList
equals(Object) - 类中的方法org.tensorflow.framework.CollectionDef.Int64List
equals(Object) - 类中的方法org.tensorflow.framework.CollectionDef.NodeList
equals(Object) - 类中的方法org.tensorflow.framework.CondContextDef
equals(Object) - 类中的方法org.tensorflow.framework.ConfigProto
equals(Object) - 类中的方法org.tensorflow.framework.ConfigProto.Experimental
equals(Object) - 类中的方法org.tensorflow.framework.ControlFlowContextDef
equals(Object) - 类中的方法org.tensorflow.framework.CostGraphDef
equals(Object) - 类中的方法org.tensorflow.framework.CostGraphDef.Node
equals(Object) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
equals(Object) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
equals(Object) - 类中的方法org.tensorflow.framework.CriticalSectionDef
equals(Object) - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef
equals(Object) - 类中的方法org.tensorflow.framework.DebuggedSourceFile
equals(Object) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles
equals(Object) - 类中的方法org.tensorflow.framework.DebugOptions
equals(Object) - 类中的方法org.tensorflow.framework.DebugTensorWatch
equals(Object) - 类中的方法org.tensorflow.framework.DeviceAttributes
equals(Object) - 类中的方法org.tensorflow.framework.DeviceLocality
equals(Object) - 类中的方法org.tensorflow.framework.DeviceStepStats
equals(Object) - 类中的方法org.tensorflow.framework.FunctionDef
equals(Object) - 类中的方法org.tensorflow.framework.FunctionDefLibrary
equals(Object) - 类中的方法org.tensorflow.framework.GPUOptions
equals(Object) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental
equals(Object) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
equals(Object) - 类中的方法org.tensorflow.framework.GradientDef
equals(Object) - 类中的方法org.tensorflow.framework.GraphDef
equals(Object) - 类中的方法org.tensorflow.framework.GraphOptions
equals(Object) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
equals(Object) - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
equals(Object) - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
equals(Object) - 类中的方法org.tensorflow.framework.GraphTransferInfo
equals(Object) - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo
equals(Object) - 类中的方法org.tensorflow.framework.GraphTransferNodeInput
equals(Object) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo
equals(Object) - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo
equals(Object) - 类中的方法org.tensorflow.framework.HistogramProto
equals(Object) - 类中的方法org.tensorflow.framework.InterconnectLink
equals(Object) - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint
equals(Object) - 类中的方法org.tensorflow.framework.KernelDef
equals(Object) - 类中的方法org.tensorflow.framework.KernelList
equals(Object) - 类中的方法org.tensorflow.framework.LocalLinks
equals(Object) - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation
equals(Object) - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation
equals(Object) - 类中的方法org.tensorflow.framework.MemoryLogStep
equals(Object) - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation
equals(Object) - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation
equals(Object) - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput
equals(Object) - 类中的方法org.tensorflow.framework.MemoryStats
equals(Object) - 类中的方法org.tensorflow.framework.MetaGraphDef
equals(Object) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
equals(Object) - 类中的方法org.tensorflow.framework.NameAttrList
equals(Object) - 类中的方法org.tensorflow.framework.NamedTensorProto
equals(Object) - 类中的方法org.tensorflow.framework.NodeDef
equals(Object) - 类中的方法org.tensorflow.framework.NodeExecStats
equals(Object) - 类中的方法org.tensorflow.framework.NodeOutput
equals(Object) - 类中的方法org.tensorflow.framework.OpDef.ArgDef
equals(Object) - 类中的方法org.tensorflow.framework.OpDef.AttrDef
equals(Object) - 类中的方法org.tensorflow.framework.OpDef
equals(Object) - 类中的方法org.tensorflow.framework.OpDeprecation
equals(Object) - 类中的方法org.tensorflow.framework.OpList
equals(Object) - 类中的方法org.tensorflow.framework.OptimizerOptions
equals(Object) - 类中的方法org.tensorflow.framework.QueueRunnerDef
equals(Object) - 类中的方法org.tensorflow.framework.ReaderBaseState
equals(Object) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
equals(Object) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
equals(Object) - 类中的方法org.tensorflow.framework.ResourceHandleProto
equals(Object) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
equals(Object) - 类中的方法org.tensorflow.framework.RewriterConfig
equals(Object) - 类中的方法org.tensorflow.framework.RPCOptions
equals(Object) - 类中的方法org.tensorflow.framework.RunMetadata
equals(Object) - 类中的方法org.tensorflow.framework.RunOptions
equals(Object) - 类中的方法org.tensorflow.framework.RunOptions.Experimental
equals(Object) - 类中的方法org.tensorflow.framework.SavedModel
equals(Object) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef
equals(Object) - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions
equals(Object) - 类中的方法org.tensorflow.framework.SignatureDef
equals(Object) - 类中的方法org.tensorflow.framework.StepStats
equals(Object) - 类中的方法org.tensorflow.framework.Summary.Audio
equals(Object) - 类中的方法org.tensorflow.framework.Summary
equals(Object) - 类中的方法org.tensorflow.framework.Summary.Image
equals(Object) - 类中的方法org.tensorflow.framework.Summary.Value
equals(Object) - 类中的方法org.tensorflow.framework.SummaryDescription
equals(Object) - 类中的方法org.tensorflow.framework.SummaryMetadata
equals(Object) - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData
equals(Object) - 类中的方法org.tensorflow.framework.TensorConnection
equals(Object) - 类中的方法org.tensorflow.framework.TensorDescription
equals(Object) - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse
equals(Object) - 类中的方法org.tensorflow.framework.TensorInfo
equals(Object) - 类中的方法org.tensorflow.framework.TensorProto
equals(Object) - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim
equals(Object) - 类中的方法org.tensorflow.framework.TensorShapeProto
equals(Object) - 类中的方法org.tensorflow.framework.TensorSliceProto
equals(Object) - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent
equals(Object) - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto
equals(Object) - 类中的方法org.tensorflow.framework.ValuesDef
equals(Object) - 类中的方法org.tensorflow.framework.VariableDef
equals(Object) - 类中的方法org.tensorflow.framework.VariantTensorDataProto
equals(Object) - 类中的方法org.tensorflow.framework.VersionDef
equals(Object) - 类中的方法org.tensorflow.framework.WhileContextDef
equals(Object) - 类中的方法org.tensorflow.util.BundleEntryProto
equals(Object) - 类中的方法org.tensorflow.util.BundleHeaderProto
equals(Object) - 类中的方法org.tensorflow.util.IteratorStateMetadata
equals(Object) - 类中的方法org.tensorflow.util.SaverDef
equals(Object) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
equals(Object) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
equals(Object) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
equals(Object) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
equals(Object) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
equals(Object) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
equals(Object) - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice
equals(Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
equals(Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
equals(Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
equals(Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
equals(Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
equals(Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
equals(Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
equals(Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
equals(Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation
equals(Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem
equals(Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
equals(Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
equals(Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
equals(Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
equals(Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
equals(Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
equals(Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
equals(Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
equals(Object) - 类中的方法tensorflow.serving.Classification.Class
equals(Object) - 类中的方法tensorflow.serving.Classification.ClassificationRequest
equals(Object) - 类中的方法tensorflow.serving.Classification.ClassificationResponse
equals(Object) - 类中的方法tensorflow.serving.Classification.ClassificationResult
equals(Object) - 类中的方法tensorflow.serving.Classification.Classifications
equals(Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
equals(Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
equals(Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
equals(Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
equals(Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
equals(Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
equals(Object) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
equals(Object) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
equals(Object) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
equals(Object) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
equals(Object) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
equals(Object) - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus
equals(Object) - 类中的方法tensorflow.serving.Inference.InferenceResult
equals(Object) - 类中的方法tensorflow.serving.Inference.InferenceTask
equals(Object) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest
equals(Object) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse
equals(Object) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList
equals(Object) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
equals(Object) - 类中的方法tensorflow.serving.InputOuterClass.Input
equals(Object) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
equals(Object) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
equals(Object) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
equals(Object) - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
equals(Object) - 类中的方法tensorflow.serving.Logging.LogMetadata
equals(Object) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
equals(Object) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
equals(Object) - 类中的方法tensorflow.serving.Model.ModelSpec
equals(Object) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest
equals(Object) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse
equals(Object) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
equals(Object) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
equals(Object) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
equals(Object) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
equals(Object) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
equals(Object) - 类中的方法tensorflow.serving.Predict.PredictRequest
equals(Object) - 类中的方法tensorflow.serving.Predict.PredictResponse
equals(Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
equals(Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
equals(Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
equals(Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog
equals(Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog
equals(Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
equals(Object) - 类中的方法tensorflow.serving.RegressionOuterClass.Regression
equals(Object) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest
equals(Object) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse
equals(Object) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult
equals(Object) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
equals(Object) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
equals(Object) - 类中的方法tensorflow.serving.SslConfig.SSLConfig
equals(Object) - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
equals(Object) - 类中的方法tensorflow.serving.Status.StatusProto
equals(Object) - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra
ERROR_CODE_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Status.StatusProto
ERROR_MESSAGE_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Status.StatusProto
ErrorCodesProtos - org.tensorflow.framework中的类
Example - org.tensorflow.example中的类: Protobuf type tensorflow.Example
Example.Builder - org.tensorflow.example中的类: Protobuf type tensorflow.Example
EXAMPLE_LIST_FIELD_NUMBER - 类中的静态变量tensorflow.serving.InputOuterClass.Input
EXAMPLE_LIST_FIELD_NUMBER - 类中的静态变量tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
EXAMPLE_LIST_WITH_CONTEXT_FIELD_NUMBER - 类中的静态变量tensorflow.serving.InputOuterClass.Input
EXAMPLE_LIST_WITH_CONTEXT_FIELD_NUMBER - 类中的静态变量tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
ExampleOrBuilder - org.tensorflow.example中的接口
ExampleParserConfiguration - org.tensorflow.example中的类: Protobuf type tensorflow.ExampleParserConfiguration
ExampleParserConfiguration.Builder - org.tensorflow.example中的类: Protobuf type tensorflow.ExampleParserConfiguration
ExampleParserConfigurationOrBuilder - org.tensorflow.example中的接口
ExampleParserConfigurationProtos - org.tensorflow.example中的类
ExampleProtos - org.tensorflow.example中的类
EXAMPLES_FIELD_NUMBER - 类中的静态变量tensorflow.serving.InputOuterClass.ExampleList
EXAMPLES_FIELD_NUMBER - 类中的静态变量tensorflow.serving.InputOuterClass.ExampleListWithContext
EXAMPLES_FIELD_NUMBER - 类中的静态变量tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
EXAMPLES_FIELD_NUMBER - 类中的静态变量tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
EXCLUSIVE_RESOURCE_ACCESS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CriticalSectionExecutionDef
EXEC_OPTS_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunGraphRequest
EXECUTE_IN_CRITICAL_SECTION_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CriticalSectionExecutionDef
EXECUTOR_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RemoteFusedGraphExecuteInfo
EXECUTOR_TYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ConfigProto.Experimental
ExecutorOpts - org.tensorflow.distruntime中的类: Options specific to the execution of a single step.
ExecutorOpts.Builder - org.tensorflow.distruntime中的类: Options specific to the execution of a single step.
ExecutorOptsOrBuilder - org.tensorflow.distruntime中的接口
EXPERIMENTAL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ConfigProto
EXPERIMENTAL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GPUOptions
EXPERIMENTAL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RunOptions
EXPLANATION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDeprecation
extendSession(ExtendSessionRequest) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceBlockingStub: Extends a session.
extendSession(ExtendSessionRequest) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceFutureStub: Extends a session.
extendSession(ExtendSessionRequest, StreamObserver<ExtendSessionResponse>) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceImplBase: Extends a session.
extendSession(ExtendSessionRequest, StreamObserver<ExtendSessionResponse>) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceStub: Extends a session.
ExtendSessionRequest - org.tensorflow.distruntime中的类: Protobuf type tensorflow.ExtendSessionRequest
ExtendSessionRequest.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.ExtendSessionRequest
ExtendSessionRequestOrBuilder - org.tensorflow.distruntime中的接口
ExtendSessionResponse - org.tensorflow.distruntime中的类: TODO(mrry): Return something about the operation?
ExtendSessionResponse.Builder - org.tensorflow.distruntime中的类: TODO(mrry): Return something about the operation?
ExtendSessionResponseOrBuilder - org.tensorflow.distruntime中的接口
EXTENT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorSliceProto
EXTERNAL_VALUES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ValuesDef

F

F_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AttrValue
F_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AttrValue.ListValue
FAIL_IF_ZERO_VERSIONS_AT_STARTUP_FIELD_NUMBER - 类中的静态变量tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
FAILED_PRECONDITION_VALUE - 枚举中的静态变量org.tensorflow.framework.Code: Operation was rejected because the system is not in a state required for the operation's execution.
Feature - org.tensorflow.example中的类: Containers for non-sequential data.
Feature.Builder - org.tensorflow.example中的类: Containers for non-sequential data.
Feature.KindCase - org.tensorflow.example中的枚举
FEATURE_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.FeatureList
FEATURE_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.Features
FEATURE_LIST_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.FeatureLists
FEATURE_LISTS_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.SequenceExample
FEATURE_MAP_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.ExampleParserConfiguration
FeatureConfiguration - org.tensorflow.example中的类: Protobuf type tensorflow.FeatureConfiguration
FeatureConfiguration.Builder - org.tensorflow.example中的类: Protobuf type tensorflow.FeatureConfiguration
FeatureConfiguration.ConfigCase - org.tensorflow.example中的枚举
FeatureConfigurationOrBuilder - org.tensorflow.example中的接口
FeatureList - org.tensorflow.example中的类: Containers for sequential data.
FeatureList.Builder - org.tensorflow.example中的类: Containers for sequential data.
FeatureListOrBuilder - org.tensorflow.example中的接口
FeatureLists - org.tensorflow.example中的类: Protobuf type tensorflow.FeatureLists
FeatureLists.Builder - org.tensorflow.example中的类: Protobuf type tensorflow.FeatureLists
FeatureListsOrBuilder - org.tensorflow.example中的接口
FeatureOrBuilder - org.tensorflow.example中的接口
FeatureProtos - org.tensorflow.example中的类
Features - org.tensorflow.example中的类: Protobuf type tensorflow.Features
Features.Builder - org.tensorflow.example中的类: Protobuf type tensorflow.Features
FEATURES_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.Example
FeaturesOrBuilder - org.tensorflow.example中的接口
FEED_DEVICES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CallableOptions
FEED_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.PartialRunSetupRequest
FEED_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunCallableRequest
FEED_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunStepRequest
FEED_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CallableOptions
FEED_FIELD_NUMBER - 类中的静态变量tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
FETCH_DEVICES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CallableOptions
FETCH_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.PartialRunSetupRequest
FETCH_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunCallableResponse
FETCH_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunStepRequest
FETCH_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CallableOptions
FETCH_FIELD_NUMBER - 类中的静态变量tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
FETCH_SKIP_SYNC_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CallableOptions
FETCH_STEP_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.LoggingRequest
FILE_PATH_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DebuggedSourceFile
FILE_SYSTEM_POLL_WAIT_SECONDS_FIELD_NUMBER - 类中的静态变量tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
FILENAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AssetFileDef
FILENAME_PREFIX_FIELD_NUMBER - 类中的静态变量tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
FILENAME_TENSOR_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.util.SaverDef
FileSystemStoragePathSource - tensorflow.serving中的类
FileSystemStoragePathSource.FileSystemStoragePathSourceConfig - tensorflow.serving中的类: Config proto for FileSystemStoragePathSource.
FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder - tensorflow.serving中的类: Config proto for FileSystemStoragePathSource.
FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor - tensorflow.serving中的类: A servable name and base path to look for versions of the servable.
FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder - tensorflow.serving中的类: A servable name and base path to look for versions of the servable.
FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitorOrBuilder - tensorflow.serving中的接口
FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy - tensorflow.serving中的类: A policy that dictates which version(s) of a servable should be served.
FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All - tensorflow.serving中的类: Serve all versions found on disk.
FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder - tensorflow.serving中的类: Serve all versions found on disk.
FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.AllOrBuilder - tensorflow.serving中的接口
FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder - tensorflow.serving中的类: A policy that dictates which version(s) of a servable should be served.
FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest - tensorflow.serving中的类: Serve the latest versions (i.e. the ones with the highest version numbers), among those found on disk.
FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder - tensorflow.serving中的类: Serve the latest versions (i.e. the ones with the highest version numbers), among those found on disk.
FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.LatestOrBuilder - tensorflow.serving中的接口
FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.PolicyChoiceCase - tensorflow.serving中的枚举
FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific - tensorflow.serving中的类: Serve a specific version (or set of versions).
FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder - tensorflow.serving中的类: Serve a specific version (or set of versions).
FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.SpecificOrBuilder - tensorflow.serving中的接口
FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicyOrBuilder - tensorflow.serving中的接口
FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder - tensorflow.serving中的接口
FIXED_LEN_FEATURE_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.FeatureConfiguration
FixedLenFeatureProto - org.tensorflow.example中的类: Protobuf type tensorflow.FixedLenFeatureProto
FixedLenFeatureProto.Builder - org.tensorflow.example中的类: Protobuf type tensorflow.FixedLenFeatureProto
FixedLenFeatureProtoOrBuilder - org.tensorflow.example中的接口
FLOAT_LIST_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.Feature
FLOAT_LIST_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CollectionDef
FLOAT_VAL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorProto
FloatList - org.tensorflow.example中的类: Protobuf type tensorflow.FloatList
FloatList.Builder - org.tensorflow.example中的类: Protobuf type tensorflow.FloatList
FloatListOrBuilder - org.tensorflow.example中的接口
FORCE_GPU_COMPATIBLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GPUOptions
forNumber(int) - 枚举中的静态方法org.tensorflow.example.Feature.KindCase
forNumber(int) - 枚举中的静态方法org.tensorflow.example.FeatureConfiguration.ConfigCase
forNumber(int) - 枚举中的静态方法org.tensorflow.framework.ApiDef.Visibility
forNumber(int) - 枚举中的静态方法org.tensorflow.framework.AttrValue.ValueCase
forNumber(int) - 枚举中的静态方法org.tensorflow.framework.Code
forNumber(int) - 枚举中的静态方法org.tensorflow.framework.CollectionDef.KindCase
forNumber(int) - 枚举中的静态方法org.tensorflow.framework.ControlFlowContextDef.CtxtCase
forNumber(int) - 枚举中的静态方法org.tensorflow.framework.DataType
forNumber(int) - 枚举中的静态方法org.tensorflow.framework.GraphTransferInfo.Destination
forNumber(int) - 枚举中的静态方法org.tensorflow.framework.OptimizerOptions.GlobalJitLevel
forNumber(int) - 枚举中的静态方法org.tensorflow.framework.OptimizerOptions.Level
forNumber(int) - 枚举中的静态方法org.tensorflow.framework.RewriterConfig.MemOptType
forNumber(int) - 枚举中的静态方法org.tensorflow.framework.RewriterConfig.NumIterationsType
forNumber(int) - 枚举中的静态方法org.tensorflow.framework.RewriterConfig.Toggle
forNumber(int) - 枚举中的静态方法org.tensorflow.framework.RunOptions.TraceLevel
forNumber(int) - 枚举中的静态方法org.tensorflow.framework.Summary.Value.ValueCase
forNumber(int) - 枚举中的静态方法org.tensorflow.framework.TensorInfo.EncodingCase
forNumber(int) - 枚举中的静态方法org.tensorflow.framework.TensorSliceProto.Extent.HasLengthCase
forNumber(int) - 枚举中的静态方法org.tensorflow.util.BundleHeaderProto.Endianness
forNumber(int) - 枚举中的静态方法org.tensorflow.util.SaverDef.CheckpointFormatVersion
forNumber(int) - 枚举中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem.ItemCase
forNumber(int) - 枚举中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.PolicyChoiceCase
forNumber(int) - 枚举中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus.State
forNumber(int) - 枚举中的静态方法tensorflow.serving.Inference.InferenceResult.ResultCase
forNumber(int) - 枚举中的静态方法tensorflow.serving.InputOuterClass.Input.KindCase
forNumber(int) - 枚举中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.KindCase
forNumber(int) - 枚举中的静态方法tensorflow.serving.Model.ModelSpec.VersionChoiceCase
forNumber(int) - 枚举中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.ConfigCase
forNumber(int) - 枚举中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelType
forNumber(int) - 枚举中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.LogTypeCase
FREQUENCY_FIELD_NUMBER - 类中的静态变量tensorflow.DevicePropertiesProtos.DeviceProperties
FROM_TENSOR_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorConnection
FULL_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.SaveSliceInfoDef
FULL_NAME_FIELD_NUMBER - 类中的静态变量tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
FULL_SHAPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.SaveSliceInfoDef
FULL_TRACE_VALUE - 枚举中的静态变量org.tensorflow.framework.RunOptions.TraceLevel: FULL_TRACE = 3;
FUNC_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AttrValue
FUNC_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AttrValue.ListValue
FUNCTION_DEF_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
FUNCTION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.FunctionDefLibrary
FUNCTION_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GradientDef
FUNCTION_OPTIMIZATION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RewriterConfig
FunctionDef - org.tensorflow.framework中的类: A function can be instantiated when the runtime can bind every attr with a value.
FunctionDef.Builder - org.tensorflow.framework中的类: A function can be instantiated when the runtime can bind every attr with a value.
FunctionDefLibrary - org.tensorflow.framework中的类: A library is a set of named functions.
FunctionDefLibrary.Builder - org.tensorflow.framework中的类: A library is a set of named functions.
FunctionDefLibraryOrBuilder - org.tensorflow.framework中的接口
FunctionDefOrBuilder - org.tensorflow.framework中的接口
FunctionProtos - org.tensorflow.framework中的类

G

getAliasInputPort() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder: If >= 0, the output is an alias of an input.
getAliasInputPort() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo: If >= 0, the output is an alias of an input.
getAliasInputPort() - 接口中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder: If >= 0, the output is an alias of an input.
getAll() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All all = 101;
getAll() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All all = 101;
getAll() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicyOrBuilder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All all = 101;
getAllBuilder() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All all = 101;
getAllEndRelMicros() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 all_end_rel_micros = 5;
getAllEndRelMicros() - 类中的方法org.tensorflow.framework.NodeExecStats: int64 all_end_rel_micros = 5;
getAllEndRelMicros() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: int64 all_end_rel_micros = 5;
getAllEndRelNanos() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 all_end_rel_nanos = 16;
getAllEndRelNanos() - 类中的方法org.tensorflow.framework.NodeExecStats: int64 all_end_rel_nanos = 16;
getAllEndRelNanos() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: int64 all_end_rel_nanos = 16;
getAllocatedBytes() - 类中的方法org.tensorflow.framework.AllocationDescription.Builder: Total number of bytes allocated if known int64 allocated_bytes = 2;
getAllocatedBytes() - 类中的方法org.tensorflow.framework.AllocationDescription: Total number of bytes allocated if known int64 allocated_bytes = 2;
getAllocatedBytes() - 接口中的方法org.tensorflow.framework.AllocationDescriptionOrBuilder: Total number of bytes allocated if known int64 allocated_bytes = 2;
getAllocationDescription() - 类中的方法org.tensorflow.framework.TensorDescription.Builder: Information about the size and allocator used for the data .tensorflow.AllocationDescription allocation_description = 4;
getAllocationDescription() - 类中的方法org.tensorflow.framework.TensorDescription: Information about the size and allocator used for the data .tensorflow.AllocationDescription allocation_description = 4;
getAllocationDescription() - 接口中的方法org.tensorflow.framework.TensorDescriptionOrBuilder: Information about the size and allocator used for the data .tensorflow.AllocationDescription allocation_description = 4;
getAllocationDescriptionBuilder() - 类中的方法org.tensorflow.framework.TensorDescription.Builder: Information about the size and allocator used for the data .tensorflow.AllocationDescription allocation_description = 4;
getAllocationDescriptionOrBuilder() - 类中的方法org.tensorflow.framework.TensorDescription.Builder: Information about the size and allocator used for the data .tensorflow.AllocationDescription allocation_description = 4;
getAllocationDescriptionOrBuilder() - 类中的方法org.tensorflow.framework.TensorDescription: Information about the size and allocator used for the data .tensorflow.AllocationDescription allocation_description = 4;
getAllocationDescriptionOrBuilder() - 接口中的方法org.tensorflow.framework.TensorDescriptionOrBuilder: Information about the size and allocator used for the data .tensorflow.AllocationDescription allocation_description = 4;
getAllocationId() - 类中的方法org.tensorflow.framework.AllocationDescription.Builder: Identifier of the allocated buffer if known int64 allocation_id = 4;
getAllocationId() - 类中的方法org.tensorflow.framework.AllocationDescription: Identifier of the allocated buffer if known int64 allocation_id = 4;
getAllocationId() - 接口中的方法org.tensorflow.framework.AllocationDescriptionOrBuilder: Identifier of the allocated buffer if known int64 allocation_id = 4;
getAllocationId() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder: Id of the tensor buffer being allocated, used to match to a corresponding deallocation.
getAllocationId() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation: Id of the tensor buffer being allocated, used to match to a corresponding deallocation.
getAllocationId() - 接口中的方法org.tensorflow.framework.MemoryLogRawAllocationOrBuilder: Id of the tensor buffer being allocated, used to match to a corresponding deallocation.
getAllocationId() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
getAllocationId() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
getAllocationId() - 接口中的方法org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
getAllocationId() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
getAllocationId() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
getAllocationId() - 接口中的方法org.tensorflow.framework.MemoryLogTensorDeallocationOrBuilder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
getAllocationRecords(int) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
getAllocationRecords(int) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed: The allocation and deallocation timeline.
getAllocationRecords(int) - 接口中的方法org.tensorflow.framework.AllocatorMemoryUsedOrBuilder: The allocation and deallocation timeline.
getAllocationRecordsBuilder(int) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
getAllocationRecordsBuilderList() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
getAllocationRecordsCount() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
getAllocationRecordsCount() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed: The allocation and deallocation timeline.
getAllocationRecordsCount() - 接口中的方法org.tensorflow.framework.AllocatorMemoryUsedOrBuilder: The allocation and deallocation timeline.
getAllocationRecordsList() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
getAllocationRecordsList() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed: The allocation and deallocation timeline.
getAllocationRecordsList() - 接口中的方法org.tensorflow.framework.AllocatorMemoryUsedOrBuilder: The allocation and deallocation timeline.
getAllocationRecordsOrBuilder(int) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
getAllocationRecordsOrBuilder(int) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed: The allocation and deallocation timeline.
getAllocationRecordsOrBuilder(int) - 接口中的方法org.tensorflow.framework.AllocatorMemoryUsedOrBuilder: The allocation and deallocation timeline.
getAllocationRecordsOrBuilderList() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
getAllocationRecordsOrBuilderList() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed: The allocation and deallocation timeline.
getAllocationRecordsOrBuilderList() - 接口中的方法org.tensorflow.framework.AllocatorMemoryUsedOrBuilder: The allocation and deallocation timeline.
getAllocatorBytesInUse() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: These are snapshots of the overall allocator memory stats.
getAllocatorBytesInUse() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed: These are snapshots of the overall allocator memory stats.
getAllocatorBytesInUse() - 接口中的方法org.tensorflow.framework.AllocatorMemoryUsedOrBuilder: These are snapshots of the overall allocator memory stats.
getAllocatorName() - 类中的方法org.tensorflow.framework.AllocationDescription.Builder: Name of the allocator used string allocator_name = 3;
getAllocatorName() - 类中的方法org.tensorflow.framework.AllocationDescription: Name of the allocator used string allocator_name = 3;
getAllocatorName() - 接口中的方法org.tensorflow.framework.AllocationDescriptionOrBuilder: Name of the allocator used string allocator_name = 3;
getAllocatorName() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: string allocator_name = 1;
getAllocatorName() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed: string allocator_name = 1;
getAllocatorName() - 接口中的方法org.tensorflow.framework.AllocatorMemoryUsedOrBuilder: string allocator_name = 1;
getAllocatorName() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder: Name of the allocator used.
getAllocatorName() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation: Name of the allocator used.
getAllocatorName() - 接口中的方法org.tensorflow.framework.MemoryLogRawAllocationOrBuilder: Name of the allocator used.
getAllocatorName() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder: Name of the allocator used.
getAllocatorName() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation: Name of the allocator used.
getAllocatorName() - 接口中的方法org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder: Name of the allocator used.
getAllocatorName() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder: Name of the allocator used.
getAllocatorName() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation: Name of the allocator used.
getAllocatorName() - 接口中的方法org.tensorflow.framework.MemoryLogTensorDeallocationOrBuilder: Name of the allocator used.
getAllocatorNameBytes() - 类中的方法org.tensorflow.framework.AllocationDescription.Builder: Name of the allocator used string allocator_name = 3;
getAllocatorNameBytes() - 类中的方法org.tensorflow.framework.AllocationDescription: Name of the allocator used string allocator_name = 3;
getAllocatorNameBytes() - 接口中的方法org.tensorflow.framework.AllocationDescriptionOrBuilder: Name of the allocator used string allocator_name = 3;
getAllocatorNameBytes() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: string allocator_name = 1;
getAllocatorNameBytes() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed: string allocator_name = 1;
getAllocatorNameBytes() - 接口中的方法org.tensorflow.framework.AllocatorMemoryUsedOrBuilder: string allocator_name = 1;
getAllocatorNameBytes() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder: Name of the allocator used.
getAllocatorNameBytes() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation: Name of the allocator used.
getAllocatorNameBytes() - 接口中的方法org.tensorflow.framework.MemoryLogRawAllocationOrBuilder: Name of the allocator used.
getAllocatorNameBytes() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder: Name of the allocator used.
getAllocatorNameBytes() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation: Name of the allocator used.
getAllocatorNameBytes() - 接口中的方法org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder: Name of the allocator used.
getAllocatorNameBytes() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder: Name of the allocator used.
getAllocatorNameBytes() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation: Name of the allocator used.
getAllocatorNameBytes() - 接口中的方法org.tensorflow.framework.MemoryLogTensorDeallocationOrBuilder: Name of the allocator used.
getAllocatorType() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: The type of GPU allocation strategy to use.
getAllocatorType() - 类中的方法org.tensorflow.framework.GPUOptions: The type of GPU allocation strategy to use.
getAllocatorType() - 接口中的方法org.tensorflow.framework.GPUOptionsOrBuilder: The type of GPU allocation strategy to use.
getAllocatorTypeBytes() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: The type of GPU allocation strategy to use.
getAllocatorTypeBytes() - 类中的方法org.tensorflow.framework.GPUOptions: The type of GPU allocation strategy to use.
getAllocatorTypeBytes() - 接口中的方法org.tensorflow.framework.GPUOptionsOrBuilder: The type of GPU allocation strategy to use.
getAllocBytes() - 类中的方法org.tensorflow.framework.AllocationRecord.Builder: Number of bytes allocated, or de-allocated if negative.
getAllocBytes() - 类中的方法org.tensorflow.framework.AllocationRecord: Number of bytes allocated, or de-allocated if negative.
getAllocBytes() - 接口中的方法org.tensorflow.framework.AllocationRecordOrBuilder: Number of bytes allocated, or de-allocated if negative.
getAllocMicros() - 类中的方法org.tensorflow.framework.AllocationRecord.Builder: The timestamp of the operation.
getAllocMicros() - 类中的方法org.tensorflow.framework.AllocationRecord: The timestamp of the operation.
getAllocMicros() - 接口中的方法org.tensorflow.framework.AllocationRecordOrBuilder: The timestamp of the operation.
getAllOrBuilder() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All all = 101;
getAllOrBuilder() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All all = 101;
getAllOrBuilder() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicyOrBuilder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All all = 101;
getAllowedValues() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
getAllowedValues() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint: A list of values that this kernel supports for this attr.
getAllowedValues() - 接口中的方法org.tensorflow.framework.KernelDef.AttrConstraintOrBuilder: A list of values that this kernel supports for this attr.
getAllowedValues() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: The set of allowed values.
getAllowedValues() - 类中的方法org.tensorflow.framework.OpDef.AttrDef: The set of allowed values.
getAllowedValues() - 接口中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder: The set of allowed values.
getAllowedValuesBuilder() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
getAllowedValuesBuilder() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: The set of allowed values.
getAllowedValuesOrBuilder() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
getAllowedValuesOrBuilder() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint: A list of values that this kernel supports for this attr.
getAllowedValuesOrBuilder() - 接口中的方法org.tensorflow.framework.KernelDef.AttrConstraintOrBuilder: A list of values that this kernel supports for this attr.
getAllowedValuesOrBuilder() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: The set of allowed values.
getAllowedValuesOrBuilder() - 类中的方法org.tensorflow.framework.OpDef.AttrDef: The set of allowed values.
getAllowedValuesOrBuilder() - 接口中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder: The set of allowed values.
getAllowGrowth() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
getAllowGrowth() - 类中的方法org.tensorflow.framework.GPUOptions: If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
getAllowGrowth() - 接口中的方法org.tensorflow.framework.GPUOptionsOrBuilder: If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
getAllowSoftPlacement() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Whether soft placement is allowed.
getAllowSoftPlacement() - 类中的方法org.tensorflow.framework.ConfigProto: Whether soft placement is allowed.
getAllowSoftPlacement() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: Whether soft placement is allowed.
getAllowsUninitializedInput() - 类中的方法org.tensorflow.framework.OpDef.Builder: By default, all inputs to an Op must be initialized Tensors.
getAllowsUninitializedInput() - 类中的方法org.tensorflow.framework.OpDef: By default, all inputs to an Op must be initialized Tensors.
getAllowsUninitializedInput() - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: By default, all inputs to an Op must be initialized Tensors.
getAllStartMicros() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 all_start_micros = 2;
getAllStartMicros() - 类中的方法org.tensorflow.framework.NodeExecStats: int64 all_start_micros = 2;
getAllStartMicros() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: int64 all_start_micros = 2;
getAllStartNanos() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 all_start_nanos = 13;
getAllStartNanos() - 类中的方法org.tensorflow.framework.NodeExecStats: int64 all_start_nanos = 13;
getAllStartNanos() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: int64 all_start_nanos = 13;
getAnyInfo() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
getAnyInfo() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef: A serialized protobuf.
getAnyInfo() - 接口中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder: A serialized protobuf.
getAnyInfoBuilder() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
getAnyInfoOrBuilder() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
getAnyInfoOrBuilder() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef: A serialized protobuf.
getAnyInfoOrBuilder() - 接口中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder: A serialized protobuf.
getAnyList() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
getAnyList() - 类中的方法org.tensorflow.framework.CollectionDef: .tensorflow.CollectionDef.AnyList any_list = 5;
getAnyList() - 接口中的方法org.tensorflow.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.AnyList any_list = 5;
getAnyListBuilder() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
getAnyListOrBuilder() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
getAnyListOrBuilder() - 类中的方法org.tensorflow.framework.CollectionDef: .tensorflow.CollectionDef.AnyList any_list = 5;
getAnyListOrBuilder() - 接口中的方法org.tensorflow.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.AnyList any_list = 5;
getArgOrder(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: List of original in_arg names to specify new argument order.
getArgOrder(int) - 类中的方法org.tensorflow.framework.ApiDef: List of original in_arg names to specify new argument order.
getArgOrder(int) - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: List of original in_arg names to specify new argument order.
getArgOrderBytes(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: List of original in_arg names to specify new argument order.
getArgOrderBytes(int) - 类中的方法org.tensorflow.framework.ApiDef: List of original in_arg names to specify new argument order.
getArgOrderBytes(int) - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: List of original in_arg names to specify new argument order.
getArgOrderCount() - 类中的方法org.tensorflow.framework.ApiDef.Builder: List of original in_arg names to specify new argument order.
getArgOrderCount() - 类中的方法org.tensorflow.framework.ApiDef: List of original in_arg names to specify new argument order.
getArgOrderCount() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: List of original in_arg names to specify new argument order.
getArgOrderList() - 类中的方法org.tensorflow.framework.ApiDef.Builder: List of original in_arg names to specify new argument order.
getArgOrderList() - 类中的方法org.tensorflow.framework.ApiDef: List of original in_arg names to specify new argument order.
getArgOrderList() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: List of original in_arg names to specify new argument order.
getArithmeticOptimization() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Arithmetic optimizations (default is ON) e.g.
getArithmeticOptimization() - 类中的方法org.tensorflow.framework.RewriterConfig: Arithmetic optimizations (default is ON) e.g.
getArithmeticOptimization() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Arithmetic optimizations (default is ON) e.g.
getArithmeticOptimizationValue() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Arithmetic optimizations (default is ON) e.g.
getArithmeticOptimizationValue() - 类中的方法org.tensorflow.framework.RewriterConfig: Arithmetic optimizations (default is ON) e.g.
getArithmeticOptimizationValue() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Arithmetic optimizations (default is ON) e.g.
getAssetFileDef(int) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
getAssetFileDef(int) - 类中的方法org.tensorflow.framework.MetaGraphDef: Asset file def to be used with the defined graph.
getAssetFileDef(int) - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: Asset file def to be used with the defined graph.
getAssetFileDefBuilder(int) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
getAssetFileDefBuilderList() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
getAssetFileDefCount() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
getAssetFileDefCount() - 类中的方法org.tensorflow.framework.MetaGraphDef: Asset file def to be used with the defined graph.
getAssetFileDefCount() - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: Asset file def to be used with the defined graph.
getAssetFileDefList() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
getAssetFileDefList() - 类中的方法org.tensorflow.framework.MetaGraphDef: Asset file def to be used with the defined graph.
getAssetFileDefList() - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: Asset file def to be used with the defined graph.
getAssetFileDefOrBuilder(int) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
getAssetFileDefOrBuilder(int) - 类中的方法org.tensorflow.framework.MetaGraphDef: Asset file def to be used with the defined graph.
getAssetFileDefOrBuilder(int) - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: Asset file def to be used with the defined graph.
getAssetFileDefOrBuilderList() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
getAssetFileDefOrBuilderList() - 类中的方法org.tensorflow.framework.MetaGraphDef: Asset file def to be used with the defined graph.
getAssetFileDefOrBuilderList() - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: Asset file def to be used with the defined graph.
getAsync() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: Whether the ops on the worker should be executed synchronously or asynchronously.
getAsync() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest: Whether the ops on the worker should be executed synchronously or asynchronously.
getAsync() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder: Whether the ops on the worker should be executed synchronously or asynchronously.
getAttr(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttr(int) - 类中的方法org.tensorflow.framework.ApiDef: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttr(int) - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttr() - 类中的方法org.tensorflow.framework.FunctionDef.Builder: 已过时。
getAttr() - 类中的方法org.tensorflow.framework.FunctionDef: 已过时。
getAttr() - 接口中的方法org.tensorflow.framework.FunctionDefOrBuilder: 已过时。
getAttr() - 类中的方法org.tensorflow.framework.NameAttrList.Builder: 已过时。
getAttr() - 类中的方法org.tensorflow.framework.NameAttrList: 已过时。
getAttr() - 接口中的方法org.tensorflow.framework.NameAttrListOrBuilder: 已过时。
getAttr() - 类中的方法org.tensorflow.framework.NodeDef.Builder: 已过时。
getAttr() - 类中的方法org.tensorflow.framework.NodeDef: 已过时。
getAttr() - 接口中的方法org.tensorflow.framework.NodeDefOrBuilder: 已过时。
getAttr(int) - 类中的方法org.tensorflow.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttr(int) - 类中的方法org.tensorflow.framework.OpDef: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttr(int) - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrBuilder(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrBuilder(int) - 类中的方法org.tensorflow.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrBuilderList() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrBuilderList() - 类中的方法org.tensorflow.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrCount() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrCount() - 类中的方法org.tensorflow.framework.ApiDef: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrCount() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrCount() - 类中的方法org.tensorflow.framework.FunctionDef.Builder
getAttrCount() - 类中的方法org.tensorflow.framework.FunctionDef
getAttrCount() - 接口中的方法org.tensorflow.framework.FunctionDefOrBuilder: Attributes specific to this function definition.
getAttrCount() - 类中的方法org.tensorflow.framework.NameAttrList.Builder
getAttrCount() - 类中的方法org.tensorflow.framework.NameAttrList
getAttrCount() - 接口中的方法org.tensorflow.framework.NameAttrListOrBuilder: map<string, .tensorflow.AttrValue> attr = 2;
getAttrCount() - 类中的方法org.tensorflow.framework.NodeDef.Builder
getAttrCount() - 类中的方法org.tensorflow.framework.NodeDef
getAttrCount() - 接口中的方法org.tensorflow.framework.NodeDefOrBuilder: Operation-specific graph-construction-time configuration.
getAttrCount() - 类中的方法org.tensorflow.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrCount() - 类中的方法org.tensorflow.framework.OpDef: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrCount() - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttributes(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Serialized data specific to this object.
getAttributes(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject: Serialized data specific to this object.
getAttributes(int) - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder: Serialized data specific to this object.
getAttributesBuilder(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Serialized data specific to this object.
getAttributesBuilderList() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Serialized data specific to this object.
getAttributesCount() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Serialized data specific to this object.
getAttributesCount() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject: Serialized data specific to this object.
getAttributesCount() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder: Serialized data specific to this object.
getAttributesList() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Serialized data specific to this object.
getAttributesList() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject: Serialized data specific to this object.
getAttributesList() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder: Serialized data specific to this object.
getAttributesOrBuilder(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Serialized data specific to this object.
getAttributesOrBuilder(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject: Serialized data specific to this object.
getAttributesOrBuilder(int) - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder: Serialized data specific to this object.
getAttributesOrBuilderList() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Serialized data specific to this object.
getAttributesOrBuilderList() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject: Serialized data specific to this object.
getAttributesOrBuilderList() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder: Serialized data specific to this object.
getAttrList() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrList() - 类中的方法org.tensorflow.framework.ApiDef: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrList() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrList() - 类中的方法org.tensorflow.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrList() - 类中的方法org.tensorflow.framework.OpDef: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrList() - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrMap() - 类中的方法org.tensorflow.framework.FunctionDef.Builder: Attributes specific to this function definition.
getAttrMap() - 类中的方法org.tensorflow.framework.FunctionDef: Attributes specific to this function definition.
getAttrMap() - 接口中的方法org.tensorflow.framework.FunctionDefOrBuilder: Attributes specific to this function definition.
getAttrMap() - 类中的方法org.tensorflow.framework.NameAttrList.Builder: map<string, .tensorflow.AttrValue> attr = 2;
getAttrMap() - 类中的方法org.tensorflow.framework.NameAttrList: map<string, .tensorflow.AttrValue> attr = 2;
getAttrMap() - 接口中的方法org.tensorflow.framework.NameAttrListOrBuilder: map<string, .tensorflow.AttrValue> attr = 2;
getAttrMap() - 类中的方法org.tensorflow.framework.NodeDef.Builder: Operation-specific graph-construction-time configuration.
getAttrMap() - 类中的方法org.tensorflow.framework.NodeDef: Operation-specific graph-construction-time configuration.
getAttrMap() - 接口中的方法org.tensorflow.framework.NodeDefOrBuilder: Operation-specific graph-construction-time configuration.
getAttrOrBuilder(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrOrBuilder(int) - 类中的方法org.tensorflow.framework.ApiDef: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrOrBuilder(int) - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrOrBuilder(int) - 类中的方法org.tensorflow.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrOrBuilder(int) - 类中的方法org.tensorflow.framework.OpDef: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrOrBuilder(int) - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrOrBuilderList() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrOrBuilderList() - 类中的方法org.tensorflow.framework.ApiDef: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrOrBuilderList() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrOrBuilderList() - 类中的方法org.tensorflow.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrOrBuilderList() - 类中的方法org.tensorflow.framework.OpDef: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrOrBuilderList() - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrOrDefault(String, AttrValue) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: Attributes specific to this function definition.
getAttrOrDefault(String, AttrValue) - 类中的方法org.tensorflow.framework.FunctionDef: Attributes specific to this function definition.
getAttrOrDefault(String, AttrValue) - 接口中的方法org.tensorflow.framework.FunctionDefOrBuilder: Attributes specific to this function definition.
getAttrOrDefault(String, AttrValue) - 类中的方法org.tensorflow.framework.NameAttrList.Builder: map<string, .tensorflow.AttrValue> attr = 2;
getAttrOrDefault(String, AttrValue) - 类中的方法org.tensorflow.framework.NameAttrList: map<string, .tensorflow.AttrValue> attr = 2;
getAttrOrDefault(String, AttrValue) - 接口中的方法org.tensorflow.framework.NameAttrListOrBuilder: map<string, .tensorflow.AttrValue> attr = 2;
getAttrOrDefault(String, AttrValue) - 类中的方法org.tensorflow.framework.NodeDef.Builder: Operation-specific graph-construction-time configuration.
getAttrOrDefault(String, AttrValue) - 类中的方法org.tensorflow.framework.NodeDef: Operation-specific graph-construction-time configuration.
getAttrOrDefault(String, AttrValue) - 接口中的方法org.tensorflow.framework.NodeDefOrBuilder: Operation-specific graph-construction-time configuration.
getAttrOrThrow(String) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: Attributes specific to this function definition.
getAttrOrThrow(String) - 类中的方法org.tensorflow.framework.FunctionDef: Attributes specific to this function definition.
getAttrOrThrow(String) - 接口中的方法org.tensorflow.framework.FunctionDefOrBuilder: Attributes specific to this function definition.
getAttrOrThrow(String) - 类中的方法org.tensorflow.framework.NameAttrList.Builder: map<string, .tensorflow.AttrValue> attr = 2;
getAttrOrThrow(String) - 类中的方法org.tensorflow.framework.NameAttrList: map<string, .tensorflow.AttrValue> attr = 2;
getAttrOrThrow(String) - 接口中的方法org.tensorflow.framework.NameAttrListOrBuilder: map<string, .tensorflow.AttrValue> attr = 2;
getAttrOrThrow(String) - 类中的方法org.tensorflow.framework.NodeDef.Builder: Operation-specific graph-construction-time configuration.
getAttrOrThrow(String) - 类中的方法org.tensorflow.framework.NodeDef: Operation-specific graph-construction-time configuration.
getAttrOrThrow(String) - 接口中的方法org.tensorflow.framework.NodeDefOrBuilder: Operation-specific graph-construction-time configuration.
getAttrs() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: 已过时。
getAttrs() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation: 已过时。
getAttrs() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder: 已过时。
getAttrsCount() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
getAttrsCount() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation
getAttrsCount() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder: map<string, .tensorflow.AttrValue> attrs = 5;
getAttrsMap() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: map<string, .tensorflow.AttrValue> attrs = 5;
getAttrsMap() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation: map<string, .tensorflow.AttrValue> attrs = 5;
getAttrsMap() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder: map<string, .tensorflow.AttrValue> attrs = 5;
getAttrsOrDefault(String, AttrValue) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: map<string, .tensorflow.AttrValue> attrs = 5;
getAttrsOrDefault(String, AttrValue) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation: map<string, .tensorflow.AttrValue> attrs = 5;
getAttrsOrDefault(String, AttrValue) - 接口中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder: map<string, .tensorflow.AttrValue> attrs = 5;
getAttrsOrThrow(String) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: map<string, .tensorflow.AttrValue> attrs = 5;
getAttrsOrThrow(String) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation: map<string, .tensorflow.AttrValue> attrs = 5;
getAttrsOrThrow(String) - 接口中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder: map<string, .tensorflow.AttrValue> attrs = 5;
getAudio() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
getAudio() - 类中的方法org.tensorflow.framework.Summary.Value: .tensorflow.Summary.Audio audio = 6;
getAudio() - 接口中的方法org.tensorflow.framework.Summary.ValueOrBuilder: .tensorflow.Summary.Audio audio = 6;
getAudioBuilder() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
getAudioOrBuilder() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
getAudioOrBuilder() - 类中的方法org.tensorflow.framework.Summary.Value: .tensorflow.Summary.Audio audio = 6;
getAudioOrBuilder() - 接口中的方法org.tensorflow.framework.Summary.ValueOrBuilder: .tensorflow.Summary.Audio audio = 6;
getAutoParallel() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
getAutoParallel() - 类中的方法org.tensorflow.framework.RewriterConfig: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
getAutoParallel() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
getAutoParallelBuilder() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
getAutoParallelOrBuilder() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
getAutoParallelOrBuilder() - 类中的方法org.tensorflow.framework.RewriterConfig: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
getAutoParallelOrBuilder() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
getB() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "bool" bool b = 5;
getB() - 类中的方法org.tensorflow.framework.AttrValue: "bool" bool b = 5;
getB(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(bool)" repeated bool b = 5 [packed = true];
getB(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(bool)" repeated bool b = 5 [packed = true];
getB(int) - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(bool)" repeated bool b = 5 [packed = true];
getB() - 接口中的方法org.tensorflow.framework.AttrValueOrBuilder: "bool" bool b = 5;
getBackProp() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Whether backprop is enabled for this while loop.
getBackProp() - 类中的方法org.tensorflow.framework.WhileContextDef: Whether backprop is enabled for this while loop.
getBackProp() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: Whether backprop is enabled for this while loop.
getBadConsumers(int) - 类中的方法org.tensorflow.framework.VersionDef.Builder: Specific consumer versions which are disallowed (e.g. due to bugs).
getBadConsumers(int) - 类中的方法org.tensorflow.framework.VersionDef: Specific consumer versions which are disallowed (e.g. due to bugs).
getBadConsumers(int) - 接口中的方法org.tensorflow.framework.VersionDefOrBuilder: Specific consumer versions which are disallowed (e.g. due to bugs).
getBadConsumersCount() - 类中的方法org.tensorflow.framework.VersionDef.Builder: Specific consumer versions which are disallowed (e.g. due to bugs).
getBadConsumersCount() - 类中的方法org.tensorflow.framework.VersionDef: Specific consumer versions which are disallowed (e.g. due to bugs).
getBadConsumersCount() - 接口中的方法org.tensorflow.framework.VersionDefOrBuilder: Specific consumer versions which are disallowed (e.g. due to bugs).
getBadConsumersList() - 类中的方法org.tensorflow.framework.VersionDef.Builder: Specific consumer versions which are disallowed (e.g. due to bugs).
getBadConsumersList() - 类中的方法org.tensorflow.framework.VersionDef: Specific consumer versions which are disallowed (e.g. due to bugs).
getBadConsumersList() - 接口中的方法org.tensorflow.framework.VersionDefOrBuilder: Specific consumer versions which are disallowed (e.g. due to bugs).
getBandwidth() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Memory bandwidth in KB/s int64 bandwidth = 13;
getBandwidth() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties: Memory bandwidth in KB/s int64 bandwidth = 13;
getBandwidth() - 接口中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder: Memory bandwidth in KB/s int64 bandwidth = 13;
getBasePath() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: 已过时。
getBasePath() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig: 已过时。
getBasePath() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder: The path to monitor, i.e. look for child paths of the form base_path/123.
getBasePath() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor: The path to monitor, i.e. look for child paths of the form base_path/123.
getBasePath() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitorOrBuilder: The path to monitor, i.e. look for child paths of the form base_path/123.
getBasePath() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder: 已过时。
getBasePath() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Base path to the model, excluding the version directory.
getBasePath() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig: Base path to the model, excluding the version directory.
getBasePath() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder: Base path to the model, excluding the version directory.
getBasePathBytes() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: 已过时。
getBasePathBytes() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig: 已过时。
getBasePathBytes() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder: The path to monitor, i.e. look for child paths of the form base_path/123.
getBasePathBytes() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor: The path to monitor, i.e. look for child paths of the form base_path/123.
getBasePathBytes() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitorOrBuilder: The path to monitor, i.e. look for child paths of the form base_path/123.
getBasePathBytes() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder: 已过时。
getBasePathBytes() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Base path to the model, excluding the version directory.
getBasePathBytes() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig: Base path to the model, excluding the version directory.
getBasePathBytes() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder: Base path to the model, excluding the version directory.
getBCount() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(bool)" repeated bool b = 5 [packed = true];
getBCount() - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(bool)" repeated bool b = 5 [packed = true];
getBCount() - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(bool)" repeated bool b = 5 [packed = true];
getBList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(bool)" repeated bool b = 5 [packed = true];
getBList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(bool)" repeated bool b = 5 [packed = true];
getBList() - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(bool)" repeated bool b = 5 [packed = true];
getBoolVal(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_BOOL repeated bool bool_val = 11 [packed = true];
getBoolVal(int) - 类中的方法org.tensorflow.framework.TensorProto: DT_BOOL repeated bool bool_val = 11 [packed = true];
getBoolVal(int) - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_BOOL repeated bool bool_val = 11 [packed = true];
getBoolValCount() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_BOOL repeated bool bool_val = 11 [packed = true];
getBoolValCount() - 类中的方法org.tensorflow.framework.TensorProto: DT_BOOL repeated bool bool_val = 11 [packed = true];
getBoolValCount() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_BOOL repeated bool bool_val = 11 [packed = true];
getBoolValList() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_BOOL repeated bool bool_val = 11 [packed = true];
getBoolValList() - 类中的方法org.tensorflow.framework.TensorProto: DT_BOOL repeated bool bool_val = 11 [packed = true];
getBoolValList() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_BOOL repeated bool bool_val = 11 [packed = true];
getBranch() - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Branch prediction. 0 or 1.
getBranch() - 类中的方法org.tensorflow.framework.CondContextDef: Branch prediction. 0 or 1.
getBranch() - 接口中的方法org.tensorflow.framework.CondContextDefOrBuilder: Branch prediction. 0 or 1.
getBucket(int) - 类中的方法org.tensorflow.framework.HistogramProto.Builder: repeated double bucket = 7 [packed = true];
getBucket(int) - 类中的方法org.tensorflow.framework.HistogramProto: repeated double bucket = 7 [packed = true];
getBucket(int) - 接口中的方法org.tensorflow.framework.HistogramProtoOrBuilder: repeated double bucket = 7 [packed = true];
getBucketCount() - 类中的方法org.tensorflow.framework.HistogramProto.Builder: repeated double bucket = 7 [packed = true];
getBucketCount() - 类中的方法org.tensorflow.framework.HistogramProto: repeated double bucket = 7 [packed = true];
getBucketCount() - 接口中的方法org.tensorflow.framework.HistogramProtoOrBuilder: repeated double bucket = 7 [packed = true];
getBucketLimit(int) - 类中的方法org.tensorflow.framework.HistogramProto.Builder: Parallel arrays encoding the bucket boundaries and the bucket values.
getBucketLimit(int) - 类中的方法org.tensorflow.framework.HistogramProto: Parallel arrays encoding the bucket boundaries and the bucket values.
getBucketLimit(int) - 接口中的方法org.tensorflow.framework.HistogramProtoOrBuilder: Parallel arrays encoding the bucket boundaries and the bucket values.
getBucketLimitCount() - 类中的方法org.tensorflow.framework.HistogramProto.Builder: Parallel arrays encoding the bucket boundaries and the bucket values.
getBucketLimitCount() - 类中的方法org.tensorflow.framework.HistogramProto: Parallel arrays encoding the bucket boundaries and the bucket values.
getBucketLimitCount() - 接口中的方法org.tensorflow.framework.HistogramProtoOrBuilder: Parallel arrays encoding the bucket boundaries and the bucket values.
getBucketLimitList() - 类中的方法org.tensorflow.framework.HistogramProto.Builder: Parallel arrays encoding the bucket boundaries and the bucket values.
getBucketLimitList() - 类中的方法org.tensorflow.framework.HistogramProto: Parallel arrays encoding the bucket boundaries and the bucket values.
getBucketLimitList() - 接口中的方法org.tensorflow.framework.HistogramProtoOrBuilder: Parallel arrays encoding the bucket boundaries and the bucket values.
getBucketList() - 类中的方法org.tensorflow.framework.HistogramProto.Builder: repeated double bucket = 7 [packed = true];
getBucketList() - 类中的方法org.tensorflow.framework.HistogramProto: repeated double bucket = 7 [packed = true];
getBucketList() - 接口中的方法org.tensorflow.framework.HistogramProtoOrBuilder: repeated double bucket = 7 [packed = true];
getBufPtr() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: When RDMA is in use, address of destination field on client.
getBufPtr() - 类中的方法org.tensorflow.distruntime.RecvBufRequest: When RDMA is in use, address of destination field on client.
getBufPtr() - 接口中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder: When RDMA is in use, address of destination field on client.
getBufPtr() - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder: Address of source field on server.
getBufPtr() - 类中的方法org.tensorflow.distruntime.RecvBufResponse: Address of source field on server.
getBufPtr() - 接口中的方法org.tensorflow.distruntime.RecvBufResponseOrBuilder: Address of source field on server.
getBufRendezvousKey() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Arbitrary string identifying a BufRendezvous entry.
getBufRendezvousKey() - 类中的方法org.tensorflow.distruntime.RecvBufRequest: Arbitrary string identifying a BufRendezvous entry.
getBufRendezvousKey() - 接口中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder: Arbitrary string identifying a BufRendezvous entry.
getBufRendezvousKeyBytes() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Arbitrary string identifying a BufRendezvous entry.
getBufRendezvousKeyBytes() - 类中的方法org.tensorflow.distruntime.RecvBufRequest: Arbitrary string identifying a BufRendezvous entry.
getBufRendezvousKeyBytes() - 接口中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder: Arbitrary string identifying a BufRendezvous entry.
getBuildCostModel() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. 0 means no cost model.
getBuildCostModel() - 类中的方法org.tensorflow.framework.GraphOptions: The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. 0 means no cost model.
getBuildCostModel() - 接口中的方法org.tensorflow.framework.GraphOptionsOrBuilder: The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. 0 means no cost model.
getBuildCostModelAfter() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: The number of steps to skip before collecting statistics for the cost model.
getBuildCostModelAfter() - 类中的方法org.tensorflow.framework.GraphOptions: The number of steps to skip before collecting statistics for the cost model.
getBuildCostModelAfter() - 接口中的方法org.tensorflow.framework.GraphOptionsOrBuilder: The number of steps to skip before collecting statistics for the cost model.
getBusId() - 类中的方法org.tensorflow.framework.DeviceLocality.Builder: Optional bus locality of device.
getBusId() - 类中的方法org.tensorflow.framework.DeviceLocality: Optional bus locality of device.
getBusId() - 接口中的方法org.tensorflow.framework.DeviceLocalityOrBuilder: Optional bus locality of device.
getBytes() - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: Byte size of the file.
getBytes() - 类中的方法org.tensorflow.framework.DebuggedSourceFile: Byte size of the file.
getBytes() - 接口中的方法org.tensorflow.framework.DebuggedSourceFileOrBuilder: Byte size of the file.
getBytesList() - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
getBytesList() - 类中的方法org.tensorflow.example.Feature: .tensorflow.BytesList bytes_list = 1;
getBytesList() - 接口中的方法org.tensorflow.example.FeatureOrBuilder: .tensorflow.BytesList bytes_list = 1;
getBytesList() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
getBytesList() - 类中的方法org.tensorflow.framework.CollectionDef: .tensorflow.CollectionDef.BytesList bytes_list = 2;
getBytesList() - 接口中的方法org.tensorflow.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
getBytesListBuilder() - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
getBytesListBuilder() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
getBytesListOrBuilder() - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
getBytesListOrBuilder() - 类中的方法org.tensorflow.example.Feature: .tensorflow.BytesList bytes_list = 1;
getBytesListOrBuilder() - 接口中的方法org.tensorflow.example.FeatureOrBuilder: .tensorflow.BytesList bytes_list = 1;
getBytesListOrBuilder() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
getBytesListOrBuilder() - 类中的方法org.tensorflow.framework.CollectionDef: .tensorflow.CollectionDef.BytesList bytes_list = 2;
getBytesListOrBuilder() - 接口中的方法org.tensorflow.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
getCancelOpName() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: The operation to run to cancel the queue.
getCancelOpName() - 类中的方法org.tensorflow.framework.QueueRunnerDef: The operation to run to cancel the queue.
getCancelOpName() - 接口中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder: The operation to run to cancel the queue.
getCancelOpNameBytes() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: The operation to run to cancel the queue.
getCancelOpNameBytes() - 类中的方法org.tensorflow.framework.QueueRunnerDef: The operation to run to cancel the queue.
getCancelOpNameBytes() - 接口中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder: The operation to run to cancel the queue.
getCheckpointKey() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder: The generated name of the Tensor in the checkpoint.
getCheckpointKey() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor: The generated name of the Tensor in the checkpoint.
getCheckpointKey() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder: The generated name of the Tensor in the checkpoint.
getCheckpointKeyBytes() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder: The generated name of the Tensor in the checkpoint.
getCheckpointKeyBytes() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor: The generated name of the Tensor in the checkpoint.
getCheckpointKeyBytes() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder: The generated name of the Tensor in the checkpoint.
getChildren(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Objects which this object depends on.
getChildren(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject: Objects which this object depends on.
getChildren(int) - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder: Objects which this object depends on.
getChildrenBuilder(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Objects which this object depends on.
getChildrenBuilderList() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Objects which this object depends on.
getChildrenCount() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Objects which this object depends on.
getChildrenCount() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject: Objects which this object depends on.
getChildrenCount() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder: Objects which this object depends on.
getChildrenList() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Objects which this object depends on.
getChildrenList() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject: Objects which this object depends on.
getChildrenList() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder: Objects which this object depends on.
getChildrenOrBuilder(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Objects which this object depends on.
getChildrenOrBuilder(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject: Objects which this object depends on.
getChildrenOrBuilder(int) - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder: Objects which this object depends on.
getChildrenOrBuilderList() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Objects which this object depends on.
getChildrenOrBuilderList() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject: Objects which this object depends on.
getChildrenOrBuilderList() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder: Objects which this object depends on.
getClasses(int) - 类中的方法tensorflow.serving.Classification.Classifications.Builder: repeated .tensorflow.serving.Class classes = 1;
getClasses(int) - 类中的方法tensorflow.serving.Classification.Classifications: repeated .tensorflow.serving.Class classes = 1;
getClasses(int) - 接口中的方法tensorflow.serving.Classification.ClassificationsOrBuilder: repeated .tensorflow.serving.Class classes = 1;
getClassesBuilder(int) - 类中的方法tensorflow.serving.Classification.Classifications.Builder: repeated .tensorflow.serving.Class classes = 1;
getClassesBuilderList() - 类中的方法tensorflow.serving.Classification.Classifications.Builder: repeated .tensorflow.serving.Class classes = 1;
getClassesCount() - 类中的方法tensorflow.serving.Classification.Classifications.Builder: repeated .tensorflow.serving.Class classes = 1;
getClassesCount() - 类中的方法tensorflow.serving.Classification.Classifications: repeated .tensorflow.serving.Class classes = 1;
getClassesCount() - 接口中的方法tensorflow.serving.Classification.ClassificationsOrBuilder: repeated .tensorflow.serving.Class classes = 1;
getClassesList() - 类中的方法tensorflow.serving.Classification.Classifications.Builder: repeated .tensorflow.serving.Class classes = 1;
getClassesList() - 类中的方法tensorflow.serving.Classification.Classifications: repeated .tensorflow.serving.Class classes = 1;
getClassesList() - 接口中的方法tensorflow.serving.Classification.ClassificationsOrBuilder: repeated .tensorflow.serving.Class classes = 1;
getClassesOrBuilder(int) - 类中的方法tensorflow.serving.Classification.Classifications.Builder: repeated .tensorflow.serving.Class classes = 1;
getClassesOrBuilder(int) - 类中的方法tensorflow.serving.Classification.Classifications: repeated .tensorflow.serving.Class classes = 1;
getClassesOrBuilder(int) - 接口中的方法tensorflow.serving.Classification.ClassificationsOrBuilder: repeated .tensorflow.serving.Class classes = 1;
getClassesOrBuilderList() - 类中的方法tensorflow.serving.Classification.Classifications.Builder: repeated .tensorflow.serving.Class classes = 1;
getClassesOrBuilderList() - 类中的方法tensorflow.serving.Classification.Classifications: repeated .tensorflow.serving.Class classes = 1;
getClassesOrBuilderList() - 接口中的方法tensorflow.serving.Classification.ClassificationsOrBuilder: repeated .tensorflow.serving.Class classes = 1;
getClassificationResult() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.ClassificationResult classification_result = 2;
getClassificationResult() - 类中的方法tensorflow.serving.Inference.InferenceResult: .tensorflow.serving.ClassificationResult classification_result = 2;
getClassificationResult() - 接口中的方法tensorflow.serving.Inference.InferenceResultOrBuilder: .tensorflow.serving.ClassificationResult classification_result = 2;
getClassificationResultBuilder() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.ClassificationResult classification_result = 2;
getClassificationResultOrBuilder() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.ClassificationResult classification_result = 2;
getClassificationResultOrBuilder() - 类中的方法tensorflow.serving.Inference.InferenceResult: .tensorflow.serving.ClassificationResult classification_result = 2;
getClassificationResultOrBuilder() - 接口中的方法tensorflow.serving.Inference.InferenceResultOrBuilder: .tensorflow.serving.ClassificationResult classification_result = 2;
getClassifications(int) - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder: repeated .tensorflow.serving.Classifications classifications = 1;
getClassifications(int) - 类中的方法tensorflow.serving.Classification.ClassificationResult: repeated .tensorflow.serving.Classifications classifications = 1;
getClassifications(int) - 接口中的方法tensorflow.serving.Classification.ClassificationResultOrBuilder: repeated .tensorflow.serving.Classifications classifications = 1;
getClassificationsBuilder(int) - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder: repeated .tensorflow.serving.Classifications classifications = 1;
getClassificationsBuilderList() - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder: repeated .tensorflow.serving.Classifications classifications = 1;
getClassificationsCount() - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder: repeated .tensorflow.serving.Classifications classifications = 1;
getClassificationsCount() - 类中的方法tensorflow.serving.Classification.ClassificationResult: repeated .tensorflow.serving.Classifications classifications = 1;
getClassificationsCount() - 接口中的方法tensorflow.serving.Classification.ClassificationResultOrBuilder: repeated .tensorflow.serving.Classifications classifications = 1;
getClassificationsList() - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder: repeated .tensorflow.serving.Classifications classifications = 1;
getClassificationsList() - 类中的方法tensorflow.serving.Classification.ClassificationResult: repeated .tensorflow.serving.Classifications classifications = 1;
getClassificationsList() - 接口中的方法tensorflow.serving.Classification.ClassificationResultOrBuilder: repeated .tensorflow.serving.Classifications classifications = 1;
getClassificationsOrBuilder(int) - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder: repeated .tensorflow.serving.Classifications classifications = 1;
getClassificationsOrBuilder(int) - 类中的方法tensorflow.serving.Classification.ClassificationResult: repeated .tensorflow.serving.Classifications classifications = 1;
getClassificationsOrBuilder(int) - 接口中的方法tensorflow.serving.Classification.ClassificationResultOrBuilder: repeated .tensorflow.serving.Classifications classifications = 1;
getClassificationsOrBuilderList() - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder: repeated .tensorflow.serving.Classifications classifications = 1;
getClassificationsOrBuilderList() - 类中的方法tensorflow.serving.Classification.ClassificationResult: repeated .tensorflow.serving.Classifications classifications = 1;
getClassificationsOrBuilderList() - 接口中的方法tensorflow.serving.Classification.ClassificationResultOrBuilder: repeated .tensorflow.serving.Classifications classifications = 1;
getClassifyLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.ClassifyLog classify_log = 2;
getClassifyLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog: .tensorflow.serving.ClassifyLog classify_log = 2;
getClassifyLog() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder: .tensorflow.serving.ClassifyLog classify_log = 2;
getClassifyLogBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.ClassifyLog classify_log = 2;
getClassifyLogOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.ClassifyLog classify_log = 2;
getClassifyLogOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog: .tensorflow.serving.ClassifyLog classify_log = 2;
getClassifyLogOrBuilder() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder: .tensorflow.serving.ClassifyLog classify_log = 2;
getClassifyMethod() - 类中的静态方法tensorflow.serving.PredictionServiceGrpc
getCleanupAllMethod() - 类中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
getCleanupGraphMethod() - 类中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
getClear() - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder: If true, discard any saved logging data (for all steps).
getClear() - 类中的方法org.tensorflow.distruntime.LoggingRequest: If true, discard any saved logging data (for all steps).
getClear() - 接口中的方法org.tensorflow.distruntime.LoggingRequestOrBuilder: If true, discard any saved logging data (for all steps).
getClientLocality() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional information on client-side device locality.
getClientLocality() - 类中的方法org.tensorflow.distruntime.RecvBufRequest: Optional information on client-side device locality.
getClientLocality() - 接口中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder: Optional information on client-side device locality.
getClientLocality() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information on client-side device locality.
getClientLocality() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest: Optional information on client-side device locality.
getClientLocality() - 接口中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder: Optional information on client-side device locality.
getClientLocalityBuilder() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional information on client-side device locality.
getClientLocalityBuilder() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information on client-side device locality.
getClientLocalityOrBuilder() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional information on client-side device locality.
getClientLocalityOrBuilder() - 类中的方法org.tensorflow.distruntime.RecvBufRequest: Optional information on client-side device locality.
getClientLocalityOrBuilder() - 接口中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder: Optional information on client-side device locality.
getClientLocalityOrBuilder() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information on client-side device locality.
getClientLocalityOrBuilder() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest: Optional information on client-side device locality.
getClientLocalityOrBuilder() - 接口中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder: Optional information on client-side device locality.
getClientVerify() - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder: valid client certificate required ?
getClientVerify() - 类中的方法tensorflow.serving.SslConfig.SSLConfig: valid client certificate required ?
getClientVerify() - 接口中的方法tensorflow.serving.SslConfig.SSLConfigOrBuilder: valid client certificate required ?
getCloseContextMethod() - 类中的静态方法tensorflow.eager.EagerServiceGrpc
getCloseOpName() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: The operation to run to close the queue.
getCloseOpName() - 类中的方法org.tensorflow.framework.QueueRunnerDef: The operation to run to close the queue.
getCloseOpName() - 接口中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder: The operation to run to close the queue.
getCloseOpNameBytes() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: The operation to run to close the queue.
getCloseOpNameBytes() - 类中的方法org.tensorflow.framework.QueueRunnerDef: The operation to run to close the queue.
getCloseOpNameBytes() - 接口中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder: The operation to run to close the queue.
getCloseSessionMethod() - 类中的静态方法org.tensorflow.distruntime.MasterServiceGrpc
getCluster() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The cluster of which this server is a member.
getCluster() - 类中的方法org.tensorflow.distruntime.ServerDef: The cluster of which this server is a member.
getCluster() - 接口中的方法org.tensorflow.distruntime.ServerDefOrBuilder: The cluster of which this server is a member.
getClusterBuilder() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The cluster of which this server is a member.
getClusterDef() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Optional list of all workers to use in this session.
getClusterDef() - 类中的方法org.tensorflow.framework.ConfigProto: Optional list of all workers to use in this session.
getClusterDef() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: Optional list of all workers to use in this session.
getClusterDefBuilder() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Optional list of all workers to use in this session.
getClusterDefOrBuilder() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Optional list of all workers to use in this session.
getClusterDefOrBuilder() - 类中的方法org.tensorflow.framework.ConfigProto: Optional list of all workers to use in this session.
getClusterDefOrBuilder() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: Optional list of all workers to use in this session.
getClusterOrBuilder() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The cluster of which this server is a member.
getClusterOrBuilder() - 类中的方法org.tensorflow.distruntime.ServerDef: The cluster of which this server is a member.
getClusterOrBuilder() - 接口中的方法org.tensorflow.distruntime.ServerDefOrBuilder: The cluster of which this server is a member.
getCollectionDef() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: 已过时。
getCollectionDef() - 类中的方法org.tensorflow.framework.MetaGraphDef: 已过时。
getCollectionDef() - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: 已过时。
getCollectionDefCount() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
getCollectionDefCount() - 类中的方法org.tensorflow.framework.MetaGraphDef
getCollectionDefCount() - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: collection_def: Map from collection name to collections.
getCollectionDefMap() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: collection_def: Map from collection name to collections.
getCollectionDefMap() - 类中的方法org.tensorflow.framework.MetaGraphDef: collection_def: Map from collection name to collections.
getCollectionDefMap() - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: collection_def: Map from collection name to collections.
getCollectionDefOrDefault(String, CollectionDef) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: collection_def: Map from collection name to collections.
getCollectionDefOrDefault(String, CollectionDef) - 类中的方法org.tensorflow.framework.MetaGraphDef: collection_def: Map from collection name to collections.
getCollectionDefOrDefault(String, CollectionDef) - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: collection_def: Map from collection name to collections.
getCollectionDefOrThrow(String) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: collection_def: Map from collection name to collections.
getCollectionDefOrThrow(String) - 类中的方法org.tensorflow.framework.MetaGraphDef: collection_def: Map from collection name to collections.
getCollectionDefOrThrow(String) - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: collection_def: Map from collection name to collections.
getCollectiveGraphKey() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: If graph_def contains any collective ops this must be a positive integer used to coordinate execution with other graphs.
getCollectiveGraphKey() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest: If graph_def contains any collective ops this must be a positive integer used to coordinate execution with other graphs.
getCollectiveGraphKey() - 接口中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder: If graph_def contains any collective ops this must be a positive integer used to coordinate execution with other graphs.
getCollectiveGraphKey() - 类中的方法org.tensorflow.framework.RunOptions.Experimental.Builder: If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
getCollectiveGraphKey() - 类中的方法org.tensorflow.framework.RunOptions.Experimental: If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
getCollectiveGraphKey() - 接口中的方法org.tensorflow.framework.RunOptions.ExperimentalOrBuilder: If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
getCollectiveGroupLeader() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder: Task name for group resolution.
getCollectiveGroupLeader() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental: Task name for group resolution.
getCollectiveGroupLeader() - 接口中的方法org.tensorflow.framework.ConfigProto.ExperimentalOrBuilder: Task name for group resolution.
getCollectiveGroupLeaderBytes() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder: Task name for group resolution.
getCollectiveGroupLeaderBytes() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental: Task name for group resolution.
getCollectiveGroupLeaderBytes() - 接口中的方法org.tensorflow.framework.ConfigProto.ExperimentalOrBuilder: Task name for group resolution.
getColorspace() - 类中的方法org.tensorflow.framework.Summary.Image.Builder: Valid colorspace values are 1 - grayscale 2 - grayscale + alpha 3 - RGB 4 - RGBA 5 - DIGITAL_YUV 6 - BGRA int32 colorspace = 3;
getColorspace() - 类中的方法org.tensorflow.framework.Summary.Image: Valid colorspace values are 1 - grayscale 2 - grayscale + alpha 3 - RGB 4 - RGBA 5 - DIGITAL_YUV 6 - BGRA int32 colorspace = 3;
getColorspace() - 接口中的方法org.tensorflow.framework.Summary.ImageOrBuilder: Valid colorspace values are 1 - grayscale 2 - grayscale + alpha 3 - RGB 4 - RGBA 5 - DIGITAL_YUV 6 - BGRA int32 colorspace = 3;
getCompleteGroupMethod() - 类中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
getCompleteInstanceMethod() - 类中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
getComputeCost() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Estimate of the computational cost of this node, in microseconds.
getComputeCost() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: Estimate of the computational cost of this node, in microseconds.
getComputeCost() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: Estimate of the computational cost of this node, in microseconds.
getComputeTime() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Analytical estimate of the computational cost of this node, in microseconds.
getComputeTime() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: Analytical estimate of the computational cost of this node, in microseconds.
getComputeTime() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: Analytical estimate of the computational cost of this node, in microseconds.
getCondCtxt() - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
getCondCtxt() - 类中的方法org.tensorflow.framework.ControlFlowContextDef: .tensorflow.CondContextDef cond_ctxt = 1;
getCondCtxt() - 接口中的方法org.tensorflow.framework.ControlFlowContextDefOrBuilder: .tensorflow.CondContextDef cond_ctxt = 1;
getCondCtxtBuilder() - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
getCondCtxtOrBuilder() - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
getCondCtxtOrBuilder() - 类中的方法org.tensorflow.framework.ControlFlowContextDef: .tensorflow.CondContextDef cond_ctxt = 1;
getCondCtxtOrBuilder() - 接口中的方法org.tensorflow.framework.ControlFlowContextDefOrBuilder: .tensorflow.CondContextDef cond_ctxt = 1;
getConfig() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder: Configuration options.
getConfig() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest: Configuration options.
getConfig() - 接口中的方法org.tensorflow.distruntime.CreateSessionRequestOrBuilder: Configuration options.
getConfig() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder: .tensorflow.serving.ModelServerConfig config = 1;
getConfig() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest: .tensorflow.serving.ModelServerConfig config = 1;
getConfig() - 接口中的方法tensorflow.serving.ModelManagement.ReloadConfigRequestOrBuilder: .tensorflow.serving.ModelServerConfig config = 1;
getConfig(int) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder: repeated .tensorflow.serving.ModelConfig config = 1;
getConfig(int) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList: repeated .tensorflow.serving.ModelConfig config = 1;
getConfig(int) - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigListOrBuilder: repeated .tensorflow.serving.ModelConfig config = 1;
getConfigBuilder() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder: Configuration options.
getConfigBuilder() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder: .tensorflow.serving.ModelServerConfig config = 1;
getConfigBuilder(int) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder: repeated .tensorflow.serving.ModelConfig config = 1;
getConfigBuilderList() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder: repeated .tensorflow.serving.ModelConfig config = 1;
getConfigCase() - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder
getConfigCase() - 类中的方法org.tensorflow.example.FeatureConfiguration
getConfigCase() - 接口中的方法org.tensorflow.example.FeatureConfigurationOrBuilder
getConfigCase() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
getConfigCase() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
getConfigCase() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfigOrBuilder
getConfigCount() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder: repeated .tensorflow.serving.ModelConfig config = 1;
getConfigCount() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList: repeated .tensorflow.serving.ModelConfig config = 1;
getConfigCount() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigListOrBuilder: repeated .tensorflow.serving.ModelConfig config = 1;
getConfigList() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder: repeated .tensorflow.serving.ModelConfig config = 1;
getConfigList() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList: repeated .tensorflow.serving.ModelConfig config = 1;
getConfigList() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigListOrBuilder: repeated .tensorflow.serving.ModelConfig config = 1;
getConfigOrBuilder() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder: Configuration options.
getConfigOrBuilder() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest: Configuration options.
getConfigOrBuilder() - 接口中的方法org.tensorflow.distruntime.CreateSessionRequestOrBuilder: Configuration options.
getConfigOrBuilder() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder: .tensorflow.serving.ModelServerConfig config = 1;
getConfigOrBuilder() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest: .tensorflow.serving.ModelServerConfig config = 1;
getConfigOrBuilder() - 接口中的方法tensorflow.serving.ModelManagement.ReloadConfigRequestOrBuilder: .tensorflow.serving.ModelServerConfig config = 1;
getConfigOrBuilder(int) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder: repeated .tensorflow.serving.ModelConfig config = 1;
getConfigOrBuilder(int) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList: repeated .tensorflow.serving.ModelConfig config = 1;
getConfigOrBuilder(int) - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigListOrBuilder: repeated .tensorflow.serving.ModelConfig config = 1;
getConfigOrBuilderList() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder: repeated .tensorflow.serving.ModelConfig config = 1;
getConfigOrBuilderList() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList: repeated .tensorflow.serving.ModelConfig config = 1;
getConfigOrBuilderList() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigListOrBuilder: repeated .tensorflow.serving.ModelConfig config = 1;
getConstantFolding() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
getConstantFolding() - 类中的方法org.tensorflow.framework.RewriterConfig: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
getConstantFolding() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
getConstantFoldingValue() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
getConstantFoldingValue() - 类中的方法org.tensorflow.framework.RewriterConfig: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
getConstantFoldingValue() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
getConstNodeInfo(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfo(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfo(int) - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoBuilderList() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoCount() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoCount() - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoCount() - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoList() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoList() - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoList() - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoOrBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoOrBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoOrBuilder(int) - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoOrBuilderList() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoOrBuilderList() - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoOrBuilderList() - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstraint(int) - 类中的方法org.tensorflow.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraint(int) - 类中的方法org.tensorflow.framework.KernelDef: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraint(int) - 接口中的方法org.tensorflow.framework.KernelDefOrBuilder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintBuilder(int) - 类中的方法org.tensorflow.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintBuilderList() - 类中的方法org.tensorflow.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintCount() - 类中的方法org.tensorflow.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintCount() - 类中的方法org.tensorflow.framework.KernelDef: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintCount() - 接口中的方法org.tensorflow.framework.KernelDefOrBuilder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintList() - 类中的方法org.tensorflow.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintList() - 类中的方法org.tensorflow.framework.KernelDef: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintList() - 接口中的方法org.tensorflow.framework.KernelDefOrBuilder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintOrBuilder(int) - 类中的方法org.tensorflow.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintOrBuilder(int) - 类中的方法org.tensorflow.framework.KernelDef: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintOrBuilder(int) - 接口中的方法org.tensorflow.framework.KernelDefOrBuilder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintOrBuilderList() - 类中的方法org.tensorflow.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintOrBuilderList() - 类中的方法org.tensorflow.framework.KernelDef: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintOrBuilderList() - 接口中的方法org.tensorflow.framework.KernelDefOrBuilder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getContainer(int) - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder: A list of container names.
getContainer(int) - 类中的方法org.tensorflow.distruntime.CleanupAllRequest: A list of container names.
getContainer(int) - 接口中的方法org.tensorflow.distruntime.CleanupAllRequestOrBuilder: A list of container names.
getContainer(int) - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder: A list of container names, which may be empty.
getContainer(int) - 类中的方法org.tensorflow.distruntime.ResetRequest: A list of container names, which may be empty.
getContainer(int) - 接口中的方法org.tensorflow.distruntime.ResetRequestOrBuilder: A list of container names, which may be empty.
getContainer() - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: Container in which this resource is placed.
getContainer() - 类中的方法org.tensorflow.framework.ResourceHandleProto: Container in which this resource is placed.
getContainer() - 接口中的方法org.tensorflow.framework.ResourceHandleProtoOrBuilder: Container in which this resource is placed.
getContainerBytes(int) - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder: A list of container names.
getContainerBytes(int) - 类中的方法org.tensorflow.distruntime.CleanupAllRequest: A list of container names.
getContainerBytes(int) - 接口中的方法org.tensorflow.distruntime.CleanupAllRequestOrBuilder: A list of container names.
getContainerBytes(int) - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder: A list of container names, which may be empty.
getContainerBytes(int) - 类中的方法org.tensorflow.distruntime.ResetRequest: A list of container names, which may be empty.
getContainerBytes(int) - 接口中的方法org.tensorflow.distruntime.ResetRequestOrBuilder: A list of container names, which may be empty.
getContainerBytes() - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: Container in which this resource is placed.
getContainerBytes() - 类中的方法org.tensorflow.framework.ResourceHandleProto: Container in which this resource is placed.
getContainerBytes() - 接口中的方法org.tensorflow.framework.ResourceHandleProtoOrBuilder: Container in which this resource is placed.
getContainerCount() - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder: A list of container names.
getContainerCount() - 类中的方法org.tensorflow.distruntime.CleanupAllRequest: A list of container names.
getContainerCount() - 接口中的方法org.tensorflow.distruntime.CleanupAllRequestOrBuilder: A list of container names.
getContainerCount() - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder: A list of container names, which may be empty.
getContainerCount() - 类中的方法org.tensorflow.distruntime.ResetRequest: A list of container names, which may be empty.
getContainerCount() - 接口中的方法org.tensorflow.distruntime.ResetRequestOrBuilder: A list of container names, which may be empty.
getContainerList() - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder: A list of container names.
getContainerList() - 类中的方法org.tensorflow.distruntime.CleanupAllRequest: A list of container names.
getContainerList() - 接口中的方法org.tensorflow.distruntime.CleanupAllRequestOrBuilder: A list of container names.
getContainerList() - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder: A list of container names, which may be empty.
getContainerList() - 类中的方法org.tensorflow.distruntime.ResetRequest: A list of container names, which may be empty.
getContainerList() - 接口中的方法org.tensorflow.distruntime.ResetRequestOrBuilder: A list of container names, which may be empty.
getContent() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder: The content to store for the plugin.
getContent() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData: The content to store for the plugin.
getContent() - 接口中的方法org.tensorflow.framework.SummaryMetadata.PluginDataOrBuilder: The content to store for the plugin.
getContentType() - 类中的方法org.tensorflow.framework.Summary.Audio.Builder: string content_type = 5;
getContentType() - 类中的方法org.tensorflow.framework.Summary.Audio: string content_type = 5;
getContentType() - 接口中的方法org.tensorflow.framework.Summary.AudioOrBuilder: string content_type = 5;
getContentTypeBytes() - 类中的方法org.tensorflow.framework.Summary.Audio.Builder: string content_type = 5;
getContentTypeBytes() - 类中的方法org.tensorflow.framework.Summary.Audio: string content_type = 5;
getContentTypeBytes() - 接口中的方法org.tensorflow.framework.Summary.AudioOrBuilder: string content_type = 5;
getContext() - 类中的方法org.tensorflow.example.SequenceExample.Builder: .tensorflow.Features context = 1;
getContext() - 类中的方法org.tensorflow.example.SequenceExample: .tensorflow.Features context = 1;
getContext() - 接口中的方法org.tensorflow.example.SequenceExampleOrBuilder: .tensorflow.Features context = 1;
getContext() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: .tensorflow.Example context = 2;
getContext() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext: .tensorflow.Example context = 2;
getContext() - 接口中的方法tensorflow.serving.InputOuterClass.ExampleListWithContextOrBuilder: .tensorflow.Example context = 2;
getContext() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder: bytes context = 2;
getContext() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext: bytes context = 2;
getContext() - 接口中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContextOrBuilder: bytes context = 2;
getContextBuilder() - 类中的方法org.tensorflow.example.SequenceExample.Builder: .tensorflow.Features context = 1;
getContextBuilder() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: .tensorflow.Example context = 2;
getContextId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder: fixed64 context_id = 1;
getContextId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest: fixed64 context_id = 1;
getContextId() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequestOrBuilder: fixed64 context_id = 1;
getContextId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder: The ID of the created context.
getContextId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse: The ID of the created context.
getContextId() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder: The ID of the created context.
getContextId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder: fixed64 context_id = 1;
getContextId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest: fixed64 context_id = 1;
getContextId() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder: fixed64 context_id = 1;
getContextId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder: fixed64 context_id = 1;
getContextId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest: fixed64 context_id = 1;
getContextId() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequestOrBuilder: fixed64 context_id = 1;
getContextId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder: fixed64 context_id = 1;
getContextId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest: fixed64 context_id = 1;
getContextId() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequestOrBuilder: fixed64 context_id = 1;
getContextId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: fixed64 context_id = 1;
getContextId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest: fixed64 context_id = 1;
getContextId() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequestOrBuilder: fixed64 context_id = 1;
getContextId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder: fixed64 context_id = 1;
getContextId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest: fixed64 context_id = 1;
getContextId() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequestOrBuilder: fixed64 context_id = 1;
getContextName() - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Name of the context.
getContextName() - 类中的方法org.tensorflow.framework.CondContextDef: Name of the context.
getContextName() - 接口中的方法org.tensorflow.framework.CondContextDefOrBuilder: Name of the context.
getContextName() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Name of the context.
getContextName() - 类中的方法org.tensorflow.framework.WhileContextDef: Name of the context.
getContextName() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: Name of the context.
getContextNameBytes() - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Name of the context.
getContextNameBytes() - 类中的方法org.tensorflow.framework.CondContextDef: Name of the context.
getContextNameBytes() - 接口中的方法org.tensorflow.framework.CondContextDefOrBuilder: Name of the context.
getContextNameBytes() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Name of the context.
getContextNameBytes() - 类中的方法org.tensorflow.framework.WhileContextDef: Name of the context.
getContextNameBytes() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: Name of the context.
getContextOrBuilder() - 类中的方法org.tensorflow.example.SequenceExample.Builder: .tensorflow.Features context = 1;
getContextOrBuilder() - 类中的方法org.tensorflow.example.SequenceExample: .tensorflow.Features context = 1;
getContextOrBuilder() - 接口中的方法org.tensorflow.example.SequenceExampleOrBuilder: .tensorflow.Features context = 1;
getContextOrBuilder() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: .tensorflow.Example context = 2;
getContextOrBuilder() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext: .tensorflow.Example context = 2;
getContextOrBuilder() - 接口中的方法tensorflow.serving.InputOuterClass.ExampleListWithContextOrBuilder: .tensorflow.Example context = 2;
getControlInput(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Ids of the control inputs for this node.
getControlInput(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Node: Ids of the control inputs for this node.
getControlInput(int) - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: Ids of the control inputs for this node.
getControlInputCount() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Ids of the control inputs for this node.
getControlInputCount() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: Ids of the control inputs for this node.
getControlInputCount() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: Ids of the control inputs for this node.
getControlInputList() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Ids of the control inputs for this node.
getControlInputList() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: Ids of the control inputs for this node.
getControlInputList() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: Ids of the control inputs for this node.
getControlOpIds(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: Control Operation IDs that will be respected when ops are re-ordered by async execution.
getControlOpIds(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation: Control Operation IDs that will be respected when ops are re-ordered by async execution.
getControlOpIds(int) - 接口中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder: Control Operation IDs that will be respected when ops are re-ordered by async execution.
getControlOpIdsCount() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: Control Operation IDs that will be respected when ops are re-ordered by async execution.
getControlOpIdsCount() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation: Control Operation IDs that will be respected when ops are re-ordered by async execution.
getControlOpIdsCount() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder: Control Operation IDs that will be respected when ops are re-ordered by async execution.
getControlOpIdsList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: Control Operation IDs that will be respected when ops are re-ordered by async execution.
getControlOpIdsList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation: Control Operation IDs that will be respected when ops are re-ordered by async execution.
getControlOpIdsList() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder: Control Operation IDs that will be respected when ops are re-ordered by async execution.
getCooSparse() - 类中的方法org.tensorflow.framework.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
getCooSparse() - 类中的方法org.tensorflow.framework.TensorInfo: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
getCooSparse() - 接口中的方法org.tensorflow.framework.TensorInfoOrBuilder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
getCooSparseBuilder() - 类中的方法org.tensorflow.framework.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
getCooSparseOrBuilder() - 类中的方法org.tensorflow.framework.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
getCooSparseOrBuilder() - 类中的方法org.tensorflow.framework.TensorInfo: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
getCooSparseOrBuilder() - 接口中的方法org.tensorflow.framework.TensorInfoOrBuilder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
getCostGraph() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: .tensorflow.CostGraphDef cost_graph = 3;
getCostGraph() - 类中的方法org.tensorflow.distruntime.RunGraphResponse: .tensorflow.CostGraphDef cost_graph = 3;
getCostGraph() - 接口中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder: .tensorflow.CostGraphDef cost_graph = 3;
getCostGraph() - 类中的方法org.tensorflow.framework.RunMetadata.Builder: The cost graph for the computation defined by the run call.
getCostGraph() - 类中的方法org.tensorflow.framework.RunMetadata: The cost graph for the computation defined by the run call.
getCostGraph() - 接口中的方法org.tensorflow.framework.RunMetadataOrBuilder: The cost graph for the computation defined by the run call.
getCostGraphBuilder() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: .tensorflow.CostGraphDef cost_graph = 3;
getCostGraphBuilder() - 类中的方法org.tensorflow.framework.RunMetadata.Builder: The cost graph for the computation defined by the run call.
getCostGraphOrBuilder() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: .tensorflow.CostGraphDef cost_graph = 3;
getCostGraphOrBuilder() - 类中的方法org.tensorflow.distruntime.RunGraphResponse: .tensorflow.CostGraphDef cost_graph = 3;
getCostGraphOrBuilder() - 接口中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder: .tensorflow.CostGraphDef cost_graph = 3;
getCostGraphOrBuilder() - 类中的方法org.tensorflow.framework.RunMetadata.Builder: The cost graph for the computation defined by the run call.
getCostGraphOrBuilder() - 类中的方法org.tensorflow.framework.RunMetadata: The cost graph for the computation defined by the run call.
getCostGraphOrBuilder() - 接口中的方法org.tensorflow.framework.RunMetadataOrBuilder: The cost graph for the computation defined by the run call.
getCrc32C() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: The CRC32C checksum of the tensor bytes.
getCrc32C() - 类中的方法org.tensorflow.util.BundleEntryProto: The CRC32C checksum of the tensor bytes.
getCrc32C() - 接口中的方法org.tensorflow.util.BundleEntryProtoOrBuilder: The CRC32C checksum of the tensor bytes.
getCreateContextMethod() - 类中的静态方法tensorflow.eager.EagerServiceGrpc
getCreateSessionMethod() - 类中的静态方法org.tensorflow.distruntime.MasterServiceGrpc
getCreateWorkerSessionCalled() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder: Set to true if `CreateWorkerSession` was called for `session_handle`.
getCreateWorkerSessionCalled() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest: Set to true if `CreateWorkerSession` was called for `session_handle`.
getCreateWorkerSessionCalled() - 接口中的方法org.tensorflow.distruntime.DeregisterGraphRequestOrBuilder: Set to true if `CreateWorkerSession` was called for `session_handle`.
getCreateWorkerSessionCalled() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Set to true if `CreateWorkerSession` was called for `session_handle`.
getCreateWorkerSessionCalled() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest: Set to true if `CreateWorkerSession` was called for `session_handle`.
getCreateWorkerSessionCalled() - 接口中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder: Set to true if `CreateWorkerSession` was called for `session_handle`.
getCreateWorkerSessionCalled() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Set to true if `CreateWorkerSession` was called for `session_handle`.
getCreateWorkerSessionCalled() - 类中的方法org.tensorflow.distruntime.RunGraphRequest: Set to true if `CreateWorkerSession` was called for `session_handle`.
getCreateWorkerSessionCalled() - 接口中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder: Set to true if `CreateWorkerSession` was called for `session_handle`.
getCreateWorkerSessionMethod() - 类中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
getCriticalSectionName() - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder: Name of the critical section handle.
getCriticalSectionName() - 类中的方法org.tensorflow.framework.CriticalSectionDef: Name of the critical section handle.
getCriticalSectionName() - 接口中的方法org.tensorflow.framework.CriticalSectionDefOrBuilder: Name of the critical section handle.
getCriticalSectionNameBytes() - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder: Name of the critical section handle.
getCriticalSectionNameBytes() - 类中的方法org.tensorflow.framework.CriticalSectionDef: Name of the critical section handle.
getCriticalSectionNameBytes() - 接口中的方法org.tensorflow.framework.CriticalSectionDefOrBuilder: Name of the critical section handle.
getCtxtCase() - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
getCtxtCase() - 类中的方法org.tensorflow.framework.ControlFlowContextDef
getCtxtCase() - 接口中的方法org.tensorflow.framework.ControlFlowContextDefOrBuilder
getCurrentGraphVersion() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder: REQUIRED: The version number of the graph to be extended.
getCurrentGraphVersion() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest: REQUIRED: The version number of the graph to be extended.
getCurrentGraphVersion() - 接口中的方法org.tensorflow.distruntime.ExtendSessionRequestOrBuilder: REQUIRED: The version number of the graph to be extended.
getCurrentWork() - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder: bytes current_work = 4;
getCurrentWork() - 类中的方法org.tensorflow.framework.ReaderBaseState: bytes current_work = 4;
getCurrentWork() - 接口中的方法org.tensorflow.framework.ReaderBaseStateOrBuilder: bytes current_work = 4;
getCustomCa() - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder: custom certificate authority string custom_ca = 3;
getCustomCa() - 类中的方法tensorflow.serving.SslConfig.SSLConfig: custom certificate authority string custom_ca = 3;
getCustomCa() - 接口中的方法tensorflow.serving.SslConfig.SSLConfigOrBuilder: custom certificate authority string custom_ca = 3;
getCustomCaBytes() - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder: custom certificate authority string custom_ca = 3;
getCustomCaBytes() - 类中的方法tensorflow.serving.SslConfig.SSLConfig: custom certificate authority string custom_ca = 3;
getCustomCaBytes() - 接口中的方法tensorflow.serving.SslConfig.SSLConfigOrBuilder: custom certificate authority string custom_ca = 3;
getCustomModelConfig() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder: .google.protobuf.Any custom_model_config = 2;
getCustomModelConfig() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig: .google.protobuf.Any custom_model_config = 2;
getCustomModelConfig() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfigOrBuilder: .google.protobuf.Any custom_model_config = 2;
getCustomModelConfigBuilder() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder: .google.protobuf.Any custom_model_config = 2;
getCustomModelConfigOrBuilder() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder: .google.protobuf.Any custom_model_config = 2;
getCustomModelConfigOrBuilder() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig: .google.protobuf.Any custom_model_config = 2;
getCustomModelConfigOrBuilder() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfigOrBuilder: .google.protobuf.Any custom_model_config = 2;
getCustomOptimizers(int) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
getCustomOptimizers(int) - 类中的方法org.tensorflow.framework.RewriterConfig: list of CustomGraphOptimizers to apply.
getCustomOptimizers(int) - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: list of CustomGraphOptimizers to apply.
getCustomOptimizersBuilder(int) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
getCustomOptimizersBuilderList() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
getCustomOptimizersCount() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
getCustomOptimizersCount() - 类中的方法org.tensorflow.framework.RewriterConfig: list of CustomGraphOptimizers to apply.
getCustomOptimizersCount() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: list of CustomGraphOptimizers to apply.
getCustomOptimizersList() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
getCustomOptimizersList() - 类中的方法org.tensorflow.framework.RewriterConfig: list of CustomGraphOptimizers to apply.
getCustomOptimizersList() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: list of CustomGraphOptimizers to apply.
getCustomOptimizersOrBuilder(int) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
getCustomOptimizersOrBuilder(int) - 类中的方法org.tensorflow.framework.RewriterConfig: list of CustomGraphOptimizers to apply.
getCustomOptimizersOrBuilder(int) - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: list of CustomGraphOptimizers to apply.
getCustomOptimizersOrBuilderList() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
getCustomOptimizersOrBuilderList() - 类中的方法org.tensorflow.framework.RewriterConfig: list of CustomGraphOptimizers to apply.
getCustomOptimizersOrBuilderList() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: list of CustomGraphOptimizers to apply.
getData() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: bytes data = 4;
getData() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo: bytes data = 4;
getData() - 接口中的方法org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder: bytes data = 4;
getDataType() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: .tensorflow.DataType data_type = 3;
getDataType() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest: .tensorflow.DataType data_type = 3;
getDataType() - 接口中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder: .tensorflow.DataType data_type = 3;
getDataTypeValue() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: .tensorflow.DataType data_type = 3;
getDataTypeValue() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest: .tensorflow.DataType data_type = 3;
getDataTypeValue() - 接口中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder: .tensorflow.DataType data_type = 3;
getDcomplexVal(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
getDcomplexVal(int) - 类中的方法org.tensorflow.framework.TensorProto: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
getDcomplexVal(int) - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
getDcomplexValCount() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
getDcomplexValCount() - 类中的方法org.tensorflow.framework.TensorProto: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
getDcomplexValCount() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
getDcomplexValList() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
getDcomplexValList() - 类中的方法org.tensorflow.framework.TensorProto: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
getDcomplexValList() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
getDebugOps(int) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
getDebugOps(int) - 类中的方法org.tensorflow.framework.DebugTensorWatch: Name(s) of the debugging op(s).
getDebugOps(int) - 接口中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder: Name(s) of the debugging op(s).
getDebugOpsBytes(int) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
getDebugOpsBytes(int) - 类中的方法org.tensorflow.framework.DebugTensorWatch: Name(s) of the debugging op(s).
getDebugOpsBytes(int) - 接口中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder: Name(s) of the debugging op(s).
getDebugOpsCount() - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
getDebugOpsCount() - 类中的方法org.tensorflow.framework.DebugTensorWatch: Name(s) of the debugging op(s).
getDebugOpsCount() - 接口中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder: Name(s) of the debugging op(s).
getDebugOpsList() - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
getDebugOpsList() - 类中的方法org.tensorflow.framework.DebugTensorWatch: Name(s) of the debugging op(s).
getDebugOpsList() - 接口中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder: Name(s) of the debugging op(s).
getDebugOptions() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Field(s) used by TensorFlow Debugger (tfdbg).
getDebugOptions() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest: Field(s) used by TensorFlow Debugger (tfdbg).
getDebugOptions() - 接口中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder: Field(s) used by TensorFlow Debugger (tfdbg).
getDebugOptions() - 类中的方法org.tensorflow.framework.RunOptions.Builder: EXPERIMENTAL.
getDebugOptions() - 类中的方法org.tensorflow.framework.RunOptions: EXPERIMENTAL.
getDebugOptions() - 接口中的方法org.tensorflow.framework.RunOptionsOrBuilder: EXPERIMENTAL.
getDebugOptionsBuilder() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Field(s) used by TensorFlow Debugger (tfdbg).
getDebugOptionsBuilder() - 类中的方法org.tensorflow.framework.RunOptions.Builder: EXPERIMENTAL.
getDebugOptionsOrBuilder() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Field(s) used by TensorFlow Debugger (tfdbg).
getDebugOptionsOrBuilder() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest: Field(s) used by TensorFlow Debugger (tfdbg).
getDebugOptionsOrBuilder() - 接口中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder: Field(s) used by TensorFlow Debugger (tfdbg).
getDebugOptionsOrBuilder() - 类中的方法org.tensorflow.framework.RunOptions.Builder: EXPERIMENTAL.
getDebugOptionsOrBuilder() - 类中的方法org.tensorflow.framework.RunOptions: EXPERIMENTAL.
getDebugOptionsOrBuilder() - 接口中的方法org.tensorflow.framework.RunOptionsOrBuilder: EXPERIMENTAL.
getDebugStripper() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Strips debug-related nodes from the graph (off by default).
getDebugStripper() - 类中的方法org.tensorflow.framework.RewriterConfig: Strips debug-related nodes from the graph (off by default).
getDebugStripper() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Strips debug-related nodes from the graph (off by default).
getDebugStripperValue() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Strips debug-related nodes from the graph (off by default).
getDebugStripperValue() - 类中的方法org.tensorflow.framework.RewriterConfig: Strips debug-related nodes from the graph (off by default).
getDebugStripperValue() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Strips debug-related nodes from the graph (off by default).
getDebugTensorWatchOpts(int) - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
getDebugTensorWatchOpts(int) - 类中的方法org.tensorflow.framework.DebugOptions: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
getDebugTensorWatchOpts(int) - 接口中的方法org.tensorflow.framework.DebugOptionsOrBuilder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
getDebugTensorWatchOptsBuilder(int) - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
getDebugTensorWatchOptsBuilderList() - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
getDebugTensorWatchOptsCount() - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
getDebugTensorWatchOptsCount() - 类中的方法org.tensorflow.framework.DebugOptions: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
getDebugTensorWatchOptsCount() - 接口中的方法org.tensorflow.framework.DebugOptionsOrBuilder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
getDebugTensorWatchOptsList() - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
getDebugTensorWatchOptsList() - 类中的方法org.tensorflow.framework.DebugOptions: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
getDebugTensorWatchOptsList() - 接口中的方法org.tensorflow.framework.DebugOptionsOrBuilder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
getDebugTensorWatchOptsOrBuilder(int) - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
getDebugTensorWatchOptsOrBuilder(int) - 类中的方法org.tensorflow.framework.DebugOptions: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
getDebugTensorWatchOptsOrBuilder(int) - 接口中的方法org.tensorflow.framework.DebugOptionsOrBuilder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
getDebugTensorWatchOptsOrBuilderList() - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
getDebugTensorWatchOptsOrBuilderList() - 类中的方法org.tensorflow.framework.DebugOptions: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
getDebugTensorWatchOptsOrBuilderList() - 接口中的方法org.tensorflow.framework.DebugOptionsOrBuilder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
getDebugUrls(int) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: URL(s) for debug targets(s).
getDebugUrls(int) - 类中的方法org.tensorflow.framework.DebugTensorWatch: URL(s) for debug targets(s).
getDebugUrls(int) - 接口中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder: URL(s) for debug targets(s).
getDebugUrlsBytes(int) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: URL(s) for debug targets(s).
getDebugUrlsBytes(int) - 类中的方法org.tensorflow.framework.DebugTensorWatch: URL(s) for debug targets(s).
getDebugUrlsBytes(int) - 接口中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder: URL(s) for debug targets(s).
getDebugUrlsCount() - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: URL(s) for debug targets(s).
getDebugUrlsCount() - 类中的方法org.tensorflow.framework.DebugTensorWatch: URL(s) for debug targets(s).
getDebugUrlsCount() - 接口中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder: URL(s) for debug targets(s).
getDebugUrlsList() - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: URL(s) for debug targets(s).
getDebugUrlsList() - 类中的方法org.tensorflow.framework.DebugTensorWatch: URL(s) for debug targets(s).
getDebugUrlsList() - 接口中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder: URL(s) for debug targets(s).
getDefaultGraphInputTensorShape(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
getDefaultGraphInputTensorShape(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
getDefaultGraphInputTensorShape(int) - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
getDefaultGraphInputTensorShapeBuilder(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
getDefaultGraphInputTensorShapeBuilderList() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
getDefaultGraphInputTensorShapeCount() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
getDefaultGraphInputTensorShapeCount() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
getDefaultGraphInputTensorShapeCount() - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
getDefaultGraphInputTensorShapeList() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
getDefaultGraphInputTensorShapeList() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
getDefaultGraphInputTensorShapeList() - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
getDefaultGraphInputTensorShapeOrBuilder(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
getDefaultGraphInputTensorShapeOrBuilder(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
getDefaultGraphInputTensorShapeOrBuilder(int) - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
getDefaultGraphInputTensorShapeOrBuilderList() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
getDefaultGraphInputTensorShapeOrBuilderList() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
getDefaultGraphInputTensorShapeOrBuilderList() - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
getDefaultGraphOutputTensorShape(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
getDefaultGraphOutputTensorShape(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
getDefaultGraphOutputTensorShape(int) - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
getDefaultGraphOutputTensorShapeBuilder(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
getDefaultGraphOutputTensorShapeBuilderList() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
getDefaultGraphOutputTensorShapeCount() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
getDefaultGraphOutputTensorShapeCount() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
getDefaultGraphOutputTensorShapeCount() - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
getDefaultGraphOutputTensorShapeList() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
getDefaultGraphOutputTensorShapeList() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
getDefaultGraphOutputTensorShapeList() - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
getDefaultGraphOutputTensorShapeOrBuilder(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
getDefaultGraphOutputTensorShapeOrBuilder(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
getDefaultGraphOutputTensorShapeOrBuilder(int) - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
getDefaultGraphOutputTensorShapeOrBuilderList() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
getDefaultGraphOutputTensorShapeOrBuilderList() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
getDefaultGraphOutputTensorShapeOrBuilderList() - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.CleanupAllRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.CleanupAllResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.CleanupGraphRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.CleanupGraphResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.CloseSessionRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.CloseSessionResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.ClusterDef
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.CompleteGroupRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.CompleteGroupResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.CreateSessionRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.CreateSessionResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.ExecutorOpts
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.ExtendSessionRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.ExtendSessionResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.GetStatusRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.GetStatusResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.JobDef
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.LabeledStepStats
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.ListDevicesRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.ListDevicesResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.LoggingRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.LoggingResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.MakeCallableRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.MakeCallableResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.RecvBufRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.RecvBufResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.RecvTensorRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.RecvTensorResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.RegisterGraphRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.RegisterGraphResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.ResetRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.ResetResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.RunCallableRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.RunCallableResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.RunGraphRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.RunGraphResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.RunStepRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.RunStepResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.ServerDef
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.StepSequence
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.TraceOpts
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.TracingRequest
getDefaultInstance() - 类中的静态方法org.tensorflow.distruntime.TracingResponse
getDefaultInstance() - 类中的静态方法org.tensorflow.example.BytesList
getDefaultInstance() - 类中的静态方法org.tensorflow.example.Example
getDefaultInstance() - 类中的静态方法org.tensorflow.example.ExampleParserConfiguration
getDefaultInstance() - 类中的静态方法org.tensorflow.example.Feature
getDefaultInstance() - 类中的静态方法org.tensorflow.example.FeatureConfiguration
getDefaultInstance() - 类中的静态方法org.tensorflow.example.FeatureList
getDefaultInstance() - 类中的静态方法org.tensorflow.example.FeatureLists
getDefaultInstance() - 类中的静态方法org.tensorflow.example.Features
getDefaultInstance() - 类中的静态方法org.tensorflow.example.FixedLenFeatureProto
getDefaultInstance() - 类中的静态方法org.tensorflow.example.FloatList
getDefaultInstance() - 类中的静态方法org.tensorflow.example.Int64List
getDefaultInstance() - 类中的静态方法org.tensorflow.example.SequenceExample
getDefaultInstance() - 类中的静态方法org.tensorflow.example.VarLenFeatureProto
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.AllocationDescription
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.AllocationRecord
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.AllocatorMemoryUsed
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.ApiDef.Arg
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.ApiDef.Attr
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.ApiDef.Endpoint
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.ApiDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.ApiDefs
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.AssetFileDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.AttrValue
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.AttrValue.ListValue
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.AutoParallelOptions
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.CallableOptions
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.CollectionDef.AnyList
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.CollectionDef.BytesList
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.CollectionDef.FloatList
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.CollectionDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.CollectionDef.Int64List
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.CollectionDef.NodeList
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.CondContextDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.ConfigProto.Experimental
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.ConfigProto
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.ControlFlowContextDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.CostGraphDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.CriticalSectionDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.CriticalSectionExecutionDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.DebuggedSourceFile
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.DebuggedSourceFiles
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.DebugOptions
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.DebugTensorWatch
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.DeviceAttributes
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.DeviceLocality
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.DeviceStepStats
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.FunctionDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.FunctionDefLibrary
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.GPUOptions
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.GradientDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.GraphDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.GraphOptions
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.GraphTransferConstNodeInfo
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.GraphTransferInfo
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInfo
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInput
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInputInfo
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.GraphTransferNodeOutputInfo
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.HistogramProto
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.InterconnectLink
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.KernelDef.AttrConstraint
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.KernelDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.KernelList
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.LocalLinks
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.MemoryLogRawAllocation
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.MemoryLogRawDeallocation
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.MemoryLogStep
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.MemoryLogTensorAllocation
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.MemoryLogTensorDeallocation
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.MemoryLogTensorOutput
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.MemoryStats
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.MetaGraphDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.NameAttrList
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.NamedTensorProto
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.NodeDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.NodeExecStats
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.NodeOutput
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.OpDef.ArgDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.OpDef.AttrDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.OpDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.OpDeprecation
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.OpList
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.OptimizerOptions
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.QueueRunnerDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.ReaderBaseState
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.ResourceHandleProto
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.RewriterConfig
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.RPCOptions
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.RunMetadata
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.RunOptions.Experimental
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.RunOptions
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.SavedModel
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.SaveSliceInfoDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.ScopedAllocatorOptions
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.SignatureDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.StepStats
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.Summary.Audio
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.Summary
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.Summary.Image
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.Summary.Value
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.SummaryDescription
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.SummaryMetadata
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.SummaryMetadata.PluginData
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.TensorConnection
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.TensorDescription
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.TensorInfo.CooSparse
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.TensorInfo
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.TensorProto
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.TensorShapeProto.Dim
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.TensorShapeProto
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.TensorSliceProto.Extent
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.TensorSliceProto
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.ThreadPoolOptionProto
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.ValuesDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.VariableDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.VariantTensorDataProto
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.VersionDef
getDefaultInstance() - 类中的静态方法org.tensorflow.framework.WhileContextDef
getDefaultInstance() - 类中的静态方法org.tensorflow.util.BundleEntryProto
getDefaultInstance() - 类中的静态方法org.tensorflow.util.BundleHeaderProto
getDefaultInstance() - 类中的静态方法org.tensorflow.util.IteratorStateMetadata
getDefaultInstance() - 类中的静态方法org.tensorflow.util.SaverDef
getDefaultInstance() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
getDefaultInstance() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
getDefaultInstance() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
getDefaultInstance() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
getDefaultInstance() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
getDefaultInstance() - 类中的静态方法tensorflow.DevicePropertiesProtos.DeviceProperties
getDefaultInstance() - 类中的静态方法tensorflow.DevicePropertiesProtos.NamedDevice
getDefaultInstance() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
getDefaultInstance() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
getDefaultInstance() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
getDefaultInstance() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
getDefaultInstance() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
getDefaultInstance() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
getDefaultInstance() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
getDefaultInstance() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
getDefaultInstance() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.Operation
getDefaultInstance() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem
getDefaultInstance() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
getDefaultInstance() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
getDefaultInstance() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
getDefaultInstance() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
getDefaultInstance() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
getDefaultInstance() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
getDefaultInstance() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
getDefaultInstance() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
getDefaultInstance() - 类中的静态方法tensorflow.serving.Classification.Class
getDefaultInstance() - 类中的静态方法tensorflow.serving.Classification.ClassificationRequest
getDefaultInstance() - 类中的静态方法tensorflow.serving.Classification.ClassificationResponse
getDefaultInstance() - 类中的静态方法tensorflow.serving.Classification.ClassificationResult
getDefaultInstance() - 类中的静态方法tensorflow.serving.Classification.Classifications
getDefaultInstance() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
getDefaultInstance() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
getDefaultInstance() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
getDefaultInstance() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
getDefaultInstance() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
getDefaultInstance() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
getDefaultInstance() - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
getDefaultInstance() - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
getDefaultInstance() - 类中的静态方法tensorflow.serving.GetModelMetadata.SignatureDefMap
getDefaultInstance() - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
getDefaultInstance() - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
getDefaultInstance() - 类中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus
getDefaultInstance() - 类中的静态方法tensorflow.serving.Inference.InferenceResult
getDefaultInstance() - 类中的静态方法tensorflow.serving.Inference.InferenceTask
getDefaultInstance() - 类中的静态方法tensorflow.serving.Inference.MultiInferenceRequest
getDefaultInstance() - 类中的静态方法tensorflow.serving.Inference.MultiInferenceResponse
getDefaultInstance() - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleList
getDefaultInstance() - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleListWithContext
getDefaultInstance() - 类中的静态方法tensorflow.serving.InputOuterClass.Input
getDefaultInstance() - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
getDefaultInstance() - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
getDefaultInstance() - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
getDefaultInstance() - 类中的静态方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
getDefaultInstance() - 类中的静态方法tensorflow.serving.Logging.LogMetadata
getDefaultInstance() - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
getDefaultInstance() - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
getDefaultInstance() - 类中的静态方法tensorflow.serving.Model.ModelSpec
getDefaultInstance() - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigRequest
getDefaultInstance() - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigResponse
getDefaultInstance() - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
getDefaultInstance() - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
getDefaultInstance() - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
getDefaultInstance() - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
getDefaultInstance() - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
getDefaultInstance() - 类中的静态方法tensorflow.serving.Predict.PredictRequest
getDefaultInstance() - 类中的静态方法tensorflow.serving.Predict.PredictResponse
getDefaultInstance() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
getDefaultInstance() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
getDefaultInstance() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
getDefaultInstance() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictLog
getDefaultInstance() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.RegressLog
getDefaultInstance() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
getDefaultInstance() - 类中的静态方法tensorflow.serving.RegressionOuterClass.Regression
getDefaultInstance() - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionRequest
getDefaultInstance() - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResponse
getDefaultInstance() - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResult
getDefaultInstance() - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
getDefaultInstance() - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
getDefaultInstance() - 类中的静态方法tensorflow.serving.SslConfig.SSLConfig
getDefaultInstance() - 类中的静态方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
getDefaultInstance() - 类中的静态方法tensorflow.serving.Status.StatusProto
getDefaultInstance() - 类中的静态方法tensorflow.TransportOptions.RecvBufRespExtra
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CleanupAllRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CleanupAllResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CleanupAllResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CloseSessionRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CloseSessionResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CloseSessionResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.ClusterDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.ExecutorOpts
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.GetStatusRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.GetStatusRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.GetStatusResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.JobDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.JobDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.LabeledStepStats
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.ListDevicesRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.LoggingRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.LoggingResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.MakeCallableResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RecvBufRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RecvBufResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.ResetRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.ResetResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.ResetResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RunCallableRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RunCallableResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RunGraphRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RunGraphResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RunStepRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.RunStepResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.ServerDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.StepSequence.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.StepSequence
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.TraceOpts
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.TracingRequest
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.TracingResponse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.distruntime.TracingResponse
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.BytesList.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.BytesList
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.Example.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.Example
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.ExampleParserConfiguration
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.Feature.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.Feature
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.FeatureConfiguration
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.FeatureList.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.FeatureList
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.FeatureLists.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.FeatureLists
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.Features.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.Features
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.FixedLenFeatureProto
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.FloatList.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.FloatList
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.Int64List.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.Int64List
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.SequenceExample.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.SequenceExample
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.example.VarLenFeatureProto
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.AllocationDescription.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.AllocationDescription
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.AllocationRecord.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.AllocationRecord
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ApiDef.Arg
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ApiDef.Attr
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ApiDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ApiDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ApiDefs.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ApiDefs
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.AssetFileDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.AssetFileDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.AttrValue.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.AttrValue
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.AttrValue.ListValue
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.AutoParallelOptions
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CallableOptions.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CallableOptions
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CollectionDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CollectionDef.BytesList
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CollectionDef.FloatList
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CollectionDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CollectionDef.Int64List
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CollectionDef.NodeList
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CondContextDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CondContextDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ConfigProto.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ConfigProto
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ControlFlowContextDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CostGraphDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CostGraphDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CostGraphDef.Node
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CriticalSectionDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.DebuggedSourceFile
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.DebugOptions.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.DebugOptions
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.DebugTensorWatch
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.DeviceAttributes
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.DeviceLocality.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.DeviceLocality
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.DeviceStepStats
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.FunctionDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.FunctionDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.FunctionDefLibrary
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GPUOptions.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GPUOptions
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GradientDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GradientDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GraphDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GraphDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GraphOptions.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GraphOptions
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GraphTransferInfo
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.HistogramProto.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.HistogramProto
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.InterconnectLink.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.InterconnectLink
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.KernelDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.KernelDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.KernelList.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.KernelList
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.LocalLinks.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.LocalLinks
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.MemoryLogStep
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.MemoryStats.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.MemoryStats
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.MetaGraphDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.NameAttrList.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.NameAttrList
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.NamedTensorProto
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.NodeDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.NodeDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.NodeExecStats
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.NodeOutput.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.NodeOutput
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.OpDef.ArgDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.OpDef.AttrDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.OpDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.OpDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.OpDeprecation.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.OpDeprecation
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.OpList.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.OpList
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.OptimizerOptions
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.QueueRunnerDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ReaderBaseState
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ResourceHandleProto
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.RewriterConfig
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.RPCOptions.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.RPCOptions
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.RunMetadata.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.RunMetadata
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.RunOptions.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.RunOptions.Experimental.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.RunOptions.Experimental
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.RunOptions
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.SavedModel.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.SavedModel
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.SignatureDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.SignatureDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.StepStats.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.StepStats
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.Summary.Audio.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.Summary.Audio
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.Summary.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.Summary
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.Summary.Image.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.Summary.Image
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.Summary.Value.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.Summary.Value
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.SummaryDescription.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.SummaryDescription
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.SummaryMetadata
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.TensorConnection.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.TensorConnection
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.TensorDescription.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.TensorDescription
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.TensorInfo.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.TensorInfo
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.TensorProto.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.TensorProto
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.TensorShapeProto
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.TensorSliceProto
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ValuesDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.ValuesDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.VariableDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.VariableDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.VariantTensorDataProto
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.VersionDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.VersionDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.framework.WhileContextDef
getDefaultInstanceForType() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.util.BundleEntryProto
getDefaultInstanceForType() - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.util.BundleHeaderProto
getDefaultInstanceForType() - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.util.IteratorStateMetadata
getDefaultInstanceForType() - 类中的方法org.tensorflow.util.SaverDef.Builder
getDefaultInstanceForType() - 类中的方法org.tensorflow.util.SaverDef
getDefaultInstanceForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
getDefaultInstanceForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
getDefaultInstanceForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
getDefaultInstanceForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
getDefaultInstanceForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
getDefaultInstanceForType() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
getDefaultInstanceForType() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Classification.Class.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Classification.Class
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Classification.ClassificationRequest
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Classification.ClassificationResponse
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Classification.ClassificationResult
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Classification.Classifications.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Classification.Classifications
getDefaultInstanceForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
getDefaultInstanceForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
getDefaultInstanceForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
getDefaultInstanceForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
getDefaultInstanceForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
getDefaultInstanceForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
getDefaultInstanceForType() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
getDefaultInstanceForType() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
getDefaultInstanceForType() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
getDefaultInstanceForType() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
getDefaultInstanceForType() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
getDefaultInstanceForType() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Inference.InferenceResult
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Inference.InferenceTask
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse
getDefaultInstanceForType() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList
getDefaultInstanceForType() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
getDefaultInstanceForType() - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.InputOuterClass.Input
getDefaultInstanceForType() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
getDefaultInstanceForType() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
getDefaultInstanceForType() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
getDefaultInstanceForType() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Logging.LogMetadata
getDefaultInstanceForType() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
getDefaultInstanceForType() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Model.ModelSpec
getDefaultInstanceForType() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest
getDefaultInstanceForType() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse
getDefaultInstanceForType() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
getDefaultInstanceForType() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
getDefaultInstanceForType() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
getDefaultInstanceForType() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
getDefaultInstanceForType() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Predict.PredictRequest
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Predict.PredictResponse
getDefaultInstanceForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
getDefaultInstanceForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
getDefaultInstanceForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
getDefaultInstanceForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog
getDefaultInstanceForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog
getDefaultInstanceForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
getDefaultInstanceForType() - 类中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.RegressionOuterClass.Regression
getDefaultInstanceForType() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest
getDefaultInstanceForType() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse
getDefaultInstanceForType() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult
getDefaultInstanceForType() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
getDefaultInstanceForType() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
getDefaultInstanceForType() - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.SslConfig.SSLConfig
getDefaultInstanceForType() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Status.StatusProto.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.serving.Status.StatusProto
getDefaultInstanceForType() - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder
getDefaultInstanceForType() - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra
getDefaultSessionConfig() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The default configuration for sessions that run on this server.
getDefaultSessionConfig() - 类中的方法org.tensorflow.distruntime.ServerDef: The default configuration for sessions that run on this server.
getDefaultSessionConfig() - 接口中的方法org.tensorflow.distruntime.ServerDefOrBuilder: The default configuration for sessions that run on this server.
getDefaultSessionConfigBuilder() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The default configuration for sessions that run on this server.
getDefaultSessionConfigOrBuilder() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The default configuration for sessions that run on this server.
getDefaultSessionConfigOrBuilder() - 类中的方法org.tensorflow.distruntime.ServerDef: The default configuration for sessions that run on this server.
getDefaultSessionConfigOrBuilder() - 接口中的方法org.tensorflow.distruntime.ServerDefOrBuilder: The default configuration for sessions that run on this server.
getDefaultValue() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
getDefaultValue() - 类中的方法org.tensorflow.example.FixedLenFeatureProto: .tensorflow.TensorProto default_value = 3;
getDefaultValue() - 接口中的方法org.tensorflow.example.FixedLenFeatureProtoOrBuilder: .tensorflow.TensorProto default_value = 3;
getDefaultValue() - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
getDefaultValue() - 类中的方法org.tensorflow.framework.ApiDef.Attr: Specify a new default value to use for this attr.
getDefaultValue() - 接口中的方法org.tensorflow.framework.ApiDef.AttrOrBuilder: Specify a new default value to use for this attr.
getDefaultValue() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
getDefaultValue() - 类中的方法org.tensorflow.framework.OpDef.AttrDef: A reasonable default for this attribute if the user does not supply a value.
getDefaultValue() - 接口中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder: A reasonable default for this attribute if the user does not supply a value.
getDefaultValueBuilder() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
getDefaultValueBuilder() - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
getDefaultValueBuilder() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
getDefaultValueOrBuilder() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
getDefaultValueOrBuilder() - 类中的方法org.tensorflow.example.FixedLenFeatureProto: .tensorflow.TensorProto default_value = 3;
getDefaultValueOrBuilder() - 接口中的方法org.tensorflow.example.FixedLenFeatureProtoOrBuilder: .tensorflow.TensorProto default_value = 3;
getDefaultValueOrBuilder() - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
getDefaultValueOrBuilder() - 类中的方法org.tensorflow.framework.ApiDef.Attr: Specify a new default value to use for this attr.
getDefaultValueOrBuilder() - 接口中的方法org.tensorflow.framework.ApiDef.AttrOrBuilder: Specify a new default value to use for this attr.
getDefaultValueOrBuilder() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
getDefaultValueOrBuilder() - 类中的方法org.tensorflow.framework.OpDef.AttrDef: A reasonable default for this attribute if the user does not supply a value.
getDefaultValueOrBuilder() - 接口中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder: A reasonable default for this attribute if the user does not supply a value.
getDeferred() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder: True if the deallocation is queued and will be performed later, e.g. for GPU lazy freeing of buffers.
getDeferred() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation: True if the deallocation is queued and will be performed later, e.g. for GPU lazy freeing of buffers.
getDeferred() - 接口中的方法org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder: True if the deallocation is queued and will be performed later, e.g. for GPU lazy freeing of buffers.
getDeferredDeletionBytes() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.
getDeferredDeletionBytes() - 类中的方法org.tensorflow.framework.GPUOptions: Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.
getDeferredDeletionBytes() - 接口中的方法org.tensorflow.framework.GPUOptionsOrBuilder: Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.
getDeleteWorkerSessionMethod() - 类中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
getDenseShapeTensorName() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
getDenseShapeTensorName() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
getDenseShapeTensorName() - 接口中的方法org.tensorflow.framework.TensorInfo.CooSparseOrBuilder: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
getDenseShapeTensorNameBytes() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
getDenseShapeTensorNameBytes() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
getDenseShapeTensorNameBytes() - 接口中的方法org.tensorflow.framework.TensorInfo.CooSparseOrBuilder: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
getDependencyOptimization() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Control dependency optimizations (default is ON).
getDependencyOptimization() - 类中的方法org.tensorflow.framework.RewriterConfig: Control dependency optimizations (default is ON).
getDependencyOptimization() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Control dependency optimizations (default is ON).
getDependencyOptimizationValue() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Control dependency optimizations (default is ON).
getDependencyOptimizationValue() - 类中的方法org.tensorflow.framework.RewriterConfig: Control dependency optimizations (default is ON).
getDependencyOptimizationValue() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Control dependency optimizations (default is ON).
getDeprecated() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder: Set if this endpoint is deprecated.
getDeprecated() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint: Set if this endpoint is deprecated.
getDeprecated() - 接口中的方法org.tensorflow.framework.ApiDef.EndpointOrBuilder: Set if this endpoint is deprecated.
getDeprecation() - 类中的方法org.tensorflow.framework.OpDef.Builder: Optional deprecation based on GraphDef versions.
getDeprecation() - 类中的方法org.tensorflow.framework.OpDef: Optional deprecation based on GraphDef versions.
getDeprecation() - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: Optional deprecation based on GraphDef versions.
getDeprecationBuilder() - 类中的方法org.tensorflow.framework.OpDef.Builder: Optional deprecation based on GraphDef versions.
getDeprecationMessage() - 类中的方法org.tensorflow.framework.ApiDef.Builder: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
getDeprecationMessage() - 类中的方法org.tensorflow.framework.ApiDef: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
getDeprecationMessage() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
getDeprecationMessageBytes() - 类中的方法org.tensorflow.framework.ApiDef.Builder: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
getDeprecationMessageBytes() - 类中的方法org.tensorflow.framework.ApiDef: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
getDeprecationMessageBytes() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
getDeprecationOrBuilder() - 类中的方法org.tensorflow.framework.OpDef.Builder: Optional deprecation based on GraphDef versions.
getDeprecationOrBuilder() - 类中的方法org.tensorflow.framework.OpDef: Optional deprecation based on GraphDef versions.
getDeprecationOrBuilder() - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: Optional deprecation based on GraphDef versions.
getDeregisterGraphMethod() - 类中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
getDescription() - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder: Note: this will replace any inherited arg doc.
getDescription() - 类中的方法org.tensorflow.framework.ApiDef.Arg: Note: this will replace any inherited arg doc.
getDescription() - 接口中的方法org.tensorflow.framework.ApiDef.ArgOrBuilder: Note: this will replace any inherited arg doc.
getDescription() - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
getDescription() - 类中的方法org.tensorflow.framework.ApiDef.Attr: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
getDescription() - 接口中的方法org.tensorflow.framework.ApiDef.AttrOrBuilder: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
getDescription() - 类中的方法org.tensorflow.framework.ApiDef.Builder: Additional, longer human-readable description of what the Op does.
getDescription() - 类中的方法org.tensorflow.framework.ApiDef: Additional, longer human-readable description of what the Op does.
getDescription() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: Additional, longer human-readable description of what the Op does.
getDescription() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: Human readable description.
getDescription() - 类中的方法org.tensorflow.framework.OpDef.ArgDef: Human readable description.
getDescription() - 接口中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder: Human readable description.
getDescription() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: Human-readable description.
getDescription() - 类中的方法org.tensorflow.framework.OpDef.AttrDef: Human-readable description.
getDescription() - 接口中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder: Human-readable description.
getDescription() - 类中的方法org.tensorflow.framework.OpDef.Builder: Additional, longer human-readable description of what the Op does.
getDescription() - 类中的方法org.tensorflow.framework.OpDef: Additional, longer human-readable description of what the Op does.
getDescription() - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: Additional, longer human-readable description of what the Op does.
getDescriptionBytes() - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder: Note: this will replace any inherited arg doc.
getDescriptionBytes() - 类中的方法org.tensorflow.framework.ApiDef.Arg: Note: this will replace any inherited arg doc.
getDescriptionBytes() - 接口中的方法org.tensorflow.framework.ApiDef.ArgOrBuilder: Note: this will replace any inherited arg doc.
getDescriptionBytes() - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
getDescriptionBytes() - 类中的方法org.tensorflow.framework.ApiDef.Attr: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
getDescriptionBytes() - 接口中的方法org.tensorflow.framework.ApiDef.AttrOrBuilder: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
getDescriptionBytes() - 类中的方法org.tensorflow.framework.ApiDef.Builder: Additional, longer human-readable description of what the Op does.
getDescriptionBytes() - 类中的方法org.tensorflow.framework.ApiDef: Additional, longer human-readable description of what the Op does.
getDescriptionBytes() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: Additional, longer human-readable description of what the Op does.
getDescriptionBytes() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: Human readable description.
getDescriptionBytes() - 类中的方法org.tensorflow.framework.OpDef.ArgDef: Human readable description.
getDescriptionBytes() - 接口中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder: Human readable description.
getDescriptionBytes() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: Human-readable description.
getDescriptionBytes() - 类中的方法org.tensorflow.framework.OpDef.AttrDef: Human-readable description.
getDescriptionBytes() - 接口中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder: Human-readable description.
getDescriptionBytes() - 类中的方法org.tensorflow.framework.OpDef.Builder: Additional, longer human-readable description of what the Op does.
getDescriptionBytes() - 类中的方法org.tensorflow.framework.OpDef: Additional, longer human-readable description of what the Op does.
getDescriptionBytes() - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: Additional, longer human-readable description of what the Op does.
getDescriptionPrefix() - 类中的方法org.tensorflow.framework.ApiDef.Builder: Modify an existing/inherited description by adding text to the beginning or end.
getDescriptionPrefix() - 类中的方法org.tensorflow.framework.ApiDef: Modify an existing/inherited description by adding text to the beginning or end.
getDescriptionPrefix() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: Modify an existing/inherited description by adding text to the beginning or end.
getDescriptionPrefixBytes() - 类中的方法org.tensorflow.framework.ApiDef.Builder: Modify an existing/inherited description by adding text to the beginning or end.
getDescriptionPrefixBytes() - 类中的方法org.tensorflow.framework.ApiDef: Modify an existing/inherited description by adding text to the beginning or end.
getDescriptionPrefixBytes() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: Modify an existing/inherited description by adding text to the beginning or end.
getDescriptionSuffix() - 类中的方法org.tensorflow.framework.ApiDef.Builder: string description_suffix = 10;
getDescriptionSuffix() - 类中的方法org.tensorflow.framework.ApiDef: string description_suffix = 10;
getDescriptionSuffix() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: string description_suffix = 10;
getDescriptionSuffixBytes() - 类中的方法org.tensorflow.framework.ApiDef.Builder: string description_suffix = 10;
getDescriptionSuffixBytes() - 类中的方法org.tensorflow.framework.ApiDef: string description_suffix = 10;
getDescriptionSuffixBytes() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: string description_suffix = 10;
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CleanupAllRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CleanupAllRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CleanupAllResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CleanupAllResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CleanupGraphRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CleanupGraphRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CleanupGraphResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CleanupGraphResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CloseSessionRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CloseSessionRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CloseSessionResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CloseSessionResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ClusterDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ClusterDef
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ClusterProtos
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CompleteGroupRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CompleteGroupResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CreateSessionRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CreateSessionRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CreateSessionResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CreateSessionResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.DistributedRuntimeProtos
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ExecutorOpts.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ExecutorOpts
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ExtendSessionRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ExtendSessionResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.GetStatusRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.GetStatusRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.GetStatusResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.GetStatusResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.JobDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.JobDef
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.LabeledStepStats.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.LabeledStepStats
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ListDevicesRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ListDevicesRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ListDevicesResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ListDevicesResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.LoggingRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.LoggingRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.LoggingResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.LoggingResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.MakeCallableRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.MakeCallableRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.MakeCallableResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.MakeCallableResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.MasterServiceProtos
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RecvBufRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RecvBufRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RecvBufResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RecvBufResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RecvTensorRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RecvTensorRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RecvTensorResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RecvTensorResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RegisterGraphRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RegisterGraphResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ResetRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ResetRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ResetResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ResetResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RunCallableRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RunCallableRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RunCallableResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RunCallableResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RunGraphRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RunGraphRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RunGraphResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RunGraphResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RunStepRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RunStepRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RunStepResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.RunStepResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ServerDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ServerDef
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.ServerProtos
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.StepSequence.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.StepSequence
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.TraceOpts.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.TraceOpts
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.TracingRequest.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.TracingRequest
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.TracingResponse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.TracingResponse
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.WorkerProtos
getDescriptor() - 类中的静态方法org.tensorflow.distruntime.WorkerServiceProtos
getDescriptor() - 类中的静态方法org.tensorflow.example.BytesList.Builder
getDescriptor() - 类中的静态方法org.tensorflow.example.BytesList
getDescriptor() - 类中的静态方法org.tensorflow.example.Example.Builder
getDescriptor() - 类中的静态方法org.tensorflow.example.Example
getDescriptor() - 类中的静态方法org.tensorflow.example.ExampleParserConfiguration.Builder
getDescriptor() - 类中的静态方法org.tensorflow.example.ExampleParserConfiguration
getDescriptor() - 类中的静态方法org.tensorflow.example.ExampleParserConfigurationProtos
getDescriptor() - 类中的静态方法org.tensorflow.example.ExampleProtos
getDescriptor() - 类中的静态方法org.tensorflow.example.Feature.Builder
getDescriptor() - 类中的静态方法org.tensorflow.example.Feature
getDescriptor() - 类中的静态方法org.tensorflow.example.FeatureConfiguration.Builder
getDescriptor() - 类中的静态方法org.tensorflow.example.FeatureConfiguration
getDescriptor() - 类中的静态方法org.tensorflow.example.FeatureList.Builder
getDescriptor() - 类中的静态方法org.tensorflow.example.FeatureList
getDescriptor() - 类中的静态方法org.tensorflow.example.FeatureLists.Builder
getDescriptor() - 类中的静态方法org.tensorflow.example.FeatureLists
getDescriptor() - 类中的静态方法org.tensorflow.example.FeatureProtos
getDescriptor() - 类中的静态方法org.tensorflow.example.Features.Builder
getDescriptor() - 类中的静态方法org.tensorflow.example.Features
getDescriptor() - 类中的静态方法org.tensorflow.example.FixedLenFeatureProto.Builder
getDescriptor() - 类中的静态方法org.tensorflow.example.FixedLenFeatureProto
getDescriptor() - 类中的静态方法org.tensorflow.example.FloatList.Builder
getDescriptor() - 类中的静态方法org.tensorflow.example.FloatList
getDescriptor() - 类中的静态方法org.tensorflow.example.Int64List.Builder
getDescriptor() - 类中的静态方法org.tensorflow.example.Int64List
getDescriptor() - 类中的静态方法org.tensorflow.example.SequenceExample.Builder
getDescriptor() - 类中的静态方法org.tensorflow.example.SequenceExample
getDescriptor() - 类中的静态方法org.tensorflow.example.VarLenFeatureProto.Builder
getDescriptor() - 类中的静态方法org.tensorflow.example.VarLenFeatureProto
getDescriptor() - 类中的静态方法org.tensorflow.framework.AllocationDescription.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.AllocationDescription
getDescriptor() - 类中的静态方法org.tensorflow.framework.AllocationDescriptionProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.AllocationRecord.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.AllocationRecord
getDescriptor() - 类中的静态方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.AllocatorMemoryUsed
getDescriptor() - 类中的静态方法org.tensorflow.framework.ApiDef.Arg.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.ApiDef.Arg
getDescriptor() - 类中的静态方法org.tensorflow.framework.ApiDef.Attr.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.ApiDef.Attr
getDescriptor() - 类中的静态方法org.tensorflow.framework.ApiDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.ApiDef.Endpoint.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.ApiDef.Endpoint
getDescriptor() - 类中的静态方法org.tensorflow.framework.ApiDef
getDescriptor() - 枚举中的静态方法org.tensorflow.framework.ApiDef.Visibility
getDescriptor() - 类中的静态方法org.tensorflow.framework.ApiDefProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.ApiDefs.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.ApiDefs
getDescriptor() - 类中的静态方法org.tensorflow.framework.AssetFileDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.AssetFileDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.AttrValue.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.AttrValue
getDescriptor() - 类中的静态方法org.tensorflow.framework.AttrValue.ListValue.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.AttrValue.ListValue
getDescriptor() - 类中的静态方法org.tensorflow.framework.AttrValueProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.AutoParallelOptions.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.AutoParallelOptions
getDescriptor() - 类中的静态方法org.tensorflow.framework.CallableOptions.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.CallableOptions
getDescriptor() - 枚举中的静态方法org.tensorflow.framework.Code
getDescriptor() - 类中的静态方法org.tensorflow.framework.CollectionDef.AnyList.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.CollectionDef.AnyList
getDescriptor() - 类中的静态方法org.tensorflow.framework.CollectionDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.CollectionDef.BytesList.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.CollectionDef.BytesList
getDescriptor() - 类中的静态方法org.tensorflow.framework.CollectionDef.FloatList.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.CollectionDef.FloatList
getDescriptor() - 类中的静态方法org.tensorflow.framework.CollectionDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.CollectionDef.Int64List.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.CollectionDef.Int64List
getDescriptor() - 类中的静态方法org.tensorflow.framework.CollectionDef.NodeList.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.CollectionDef.NodeList
getDescriptor() - 类中的静态方法org.tensorflow.framework.CondContextDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.CondContextDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.ConfigProto.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.ConfigProto.Experimental.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.ConfigProto.Experimental
getDescriptor() - 类中的静态方法org.tensorflow.framework.ConfigProto
getDescriptor() - 类中的静态方法org.tensorflow.framework.ConfigProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.ControlFlowContextDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.ControlFlowContextDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.ControlFlowProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.CostGraphDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.CostGraphDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node
getDescriptor() - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
getDescriptor() - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
getDescriptor() - 类中的静态方法org.tensorflow.framework.CostGraphProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.CriticalSectionDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.CriticalSectionDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.CriticalSectionExecutionDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.CriticalSectionProtos
getDescriptor() - 枚举中的静态方法org.tensorflow.framework.DataType
getDescriptor() - 类中的静态方法org.tensorflow.framework.DebuggedSourceFile.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.DebuggedSourceFile
getDescriptor() - 类中的静态方法org.tensorflow.framework.DebuggedSourceFiles.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.DebuggedSourceFiles
getDescriptor() - 类中的静态方法org.tensorflow.framework.DebugOptions.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.DebugOptions
getDescriptor() - 类中的静态方法org.tensorflow.framework.DebugProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.DebugTensorWatch.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.DebugTensorWatch
getDescriptor() - 类中的静态方法org.tensorflow.framework.DeviceAttributes.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.DeviceAttributes
getDescriptor() - 类中的静态方法org.tensorflow.framework.DeviceAttributesProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.DeviceLocality.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.DeviceLocality
getDescriptor() - 类中的静态方法org.tensorflow.framework.DeviceStepStats.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.DeviceStepStats
getDescriptor() - 类中的静态方法org.tensorflow.framework.ErrorCodesProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.FunctionDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.FunctionDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.FunctionDefLibrary.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.FunctionDefLibrary
getDescriptor() - 类中的静态方法org.tensorflow.framework.FunctionProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.GPUOptions.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental
getDescriptor() - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
getDescriptor() - 类中的静态方法org.tensorflow.framework.GPUOptions
getDescriptor() - 类中的静态方法org.tensorflow.framework.GradientDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.GradientDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.GraphDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.GraphDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.GraphOptions.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.GraphOptions
getDescriptor() - 类中的静态方法org.tensorflow.framework.GraphProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.GraphTransferConstNodeInfo
getDescriptor() - 类中的静态方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
getDescriptor() - 类中的静态方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
getDescriptor() - 类中的静态方法org.tensorflow.framework.GraphTransferInfo.Builder
getDescriptor() - 枚举中的静态方法org.tensorflow.framework.GraphTransferInfo.Destination
getDescriptor() - 类中的静态方法org.tensorflow.framework.GraphTransferInfo
getDescriptor() - 类中的静态方法org.tensorflow.framework.GraphTransferInfoProto
getDescriptor() - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInfo
getDescriptor() - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInput.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInput
getDescriptor() - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInputInfo
getDescriptor() - 类中的静态方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.GraphTransferNodeOutputInfo
getDescriptor() - 类中的静态方法org.tensorflow.framework.HistogramProto.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.HistogramProto
getDescriptor() - 类中的静态方法org.tensorflow.framework.InterconnectLink.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.InterconnectLink
getDescriptor() - 类中的静态方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.KernelDef.AttrConstraint
getDescriptor() - 类中的静态方法org.tensorflow.framework.KernelDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.KernelDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.KernelDefProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.KernelList.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.KernelList
getDescriptor() - 类中的静态方法org.tensorflow.framework.LocalLinks.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.LocalLinks
getDescriptor() - 类中的静态方法org.tensorflow.framework.LogMemoryProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.MemoryLogRawAllocation
getDescriptor() - 类中的静态方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.MemoryLogRawDeallocation
getDescriptor() - 类中的静态方法org.tensorflow.framework.MemoryLogStep.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.MemoryLogStep
getDescriptor() - 类中的静态方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.MemoryLogTensorAllocation
getDescriptor() - 类中的静态方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.MemoryLogTensorDeallocation
getDescriptor() - 类中的静态方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.MemoryLogTensorOutput
getDescriptor() - 类中的静态方法org.tensorflow.framework.MemoryStats.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.MemoryStats
getDescriptor() - 类中的静态方法org.tensorflow.framework.MetaGraphDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.MetaGraphDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.MetaGraphProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.NameAttrList.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.NameAttrList
getDescriptor() - 类中的静态方法org.tensorflow.framework.NamedTensorProto.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.NamedTensorProto
getDescriptor() - 类中的静态方法org.tensorflow.framework.NamedTensorProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.NodeDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.NodeDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.NodeExecStats.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.NodeExecStats
getDescriptor() - 类中的静态方法org.tensorflow.framework.NodeOutput.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.NodeOutput
getDescriptor() - 类中的静态方法org.tensorflow.framework.NodeProto
getDescriptor() - 类中的静态方法org.tensorflow.framework.OpDef.ArgDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.OpDef.ArgDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.OpDef.AttrDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.OpDef.AttrDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.OpDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.OpDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.OpDefProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.OpDeprecation.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.OpDeprecation
getDescriptor() - 类中的静态方法org.tensorflow.framework.OpList.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.OpList
getDescriptor() - 类中的静态方法org.tensorflow.framework.OptimizerOptions.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.OptimizerOptions
getDescriptor() - 枚举中的静态方法org.tensorflow.framework.OptimizerOptions.GlobalJitLevel
getDescriptor() - 枚举中的静态方法org.tensorflow.framework.OptimizerOptions.Level
getDescriptor() - 类中的静态方法org.tensorflow.framework.QueueRunnerDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.QueueRunnerDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.QueueRunnerProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.ReaderBaseProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.ReaderBaseState.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.ReaderBaseState
getDescriptor() - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
getDescriptor() - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
getDescriptor() - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoProto
getDescriptor() - 类中的静态方法org.tensorflow.framework.ResourceHandle
getDescriptor() - 类中的静态方法org.tensorflow.framework.ResourceHandleProto.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.ResourceHandleProto
getDescriptor() - 类中的静态方法org.tensorflow.framework.RewriterConfig.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
getDescriptor() - 类中的静态方法org.tensorflow.framework.RewriterConfig
getDescriptor() - 枚举中的静态方法org.tensorflow.framework.RewriterConfig.MemOptType
getDescriptor() - 枚举中的静态方法org.tensorflow.framework.RewriterConfig.NumIterationsType
getDescriptor() - 枚举中的静态方法org.tensorflow.framework.RewriterConfig.Toggle
getDescriptor() - 类中的静态方法org.tensorflow.framework.RewriterConfigProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.RPCOptions.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.RPCOptions
getDescriptor() - 类中的静态方法org.tensorflow.framework.RunMetadata.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.RunMetadata
getDescriptor() - 类中的静态方法org.tensorflow.framework.RunOptions.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.RunOptions.Experimental.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.RunOptions.Experimental
getDescriptor() - 类中的静态方法org.tensorflow.framework.RunOptions
getDescriptor() - 枚举中的静态方法org.tensorflow.framework.RunOptions.TraceLevel
getDescriptor() - 类中的静态方法org.tensorflow.framework.SavedModel.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.SavedModel
getDescriptor() - 类中的静态方法org.tensorflow.framework.SavedModelProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.SaveSliceInfoDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.SaveSliceInfoDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.ScopedAllocatorOptions
getDescriptor() - 类中的静态方法org.tensorflow.framework.SignatureDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.SignatureDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.StepStats.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.StepStats
getDescriptor() - 类中的静态方法org.tensorflow.framework.StepStatsProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.Summary.Audio.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.Summary.Audio
getDescriptor() - 类中的静态方法org.tensorflow.framework.Summary.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.Summary
getDescriptor() - 类中的静态方法org.tensorflow.framework.Summary.Image.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.Summary.Image
getDescriptor() - 类中的静态方法org.tensorflow.framework.Summary.Value.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.Summary.Value
getDescriptor() - 类中的静态方法org.tensorflow.framework.SummaryDescription.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.SummaryDescription
getDescriptor() - 类中的静态方法org.tensorflow.framework.SummaryMetadata.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.SummaryMetadata
getDescriptor() - 类中的静态方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.SummaryMetadata.PluginData
getDescriptor() - 类中的静态方法org.tensorflow.framework.SummaryProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.TensorConnection.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.TensorConnection
getDescriptor() - 类中的静态方法org.tensorflow.framework.TensorDescription.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.TensorDescription
getDescriptor() - 类中的静态方法org.tensorflow.framework.TensorDescriptionProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.TensorInfo.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.TensorInfo.CooSparse
getDescriptor() - 类中的静态方法org.tensorflow.framework.TensorInfo
getDescriptor() - 类中的静态方法org.tensorflow.framework.TensorProto.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.TensorProto
getDescriptor() - 类中的静态方法org.tensorflow.framework.TensorProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.TensorShapeProto.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.TensorShapeProto.Dim
getDescriptor() - 类中的静态方法org.tensorflow.framework.TensorShapeProto
getDescriptor() - 类中的静态方法org.tensorflow.framework.TensorShapeProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.TensorSliceProto.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.TensorSliceProto.Extent
getDescriptor() - 类中的静态方法org.tensorflow.framework.TensorSliceProto
getDescriptor() - 类中的静态方法org.tensorflow.framework.TensorSliceProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.ThreadPoolOptionProto
getDescriptor() - 类中的静态方法org.tensorflow.framework.TypesProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.ValuesDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.ValuesDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.VariableDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.VariableDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.VariableProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.VariantTensorDataProto.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.VariantTensorDataProto
getDescriptor() - 类中的静态方法org.tensorflow.framework.VersionDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.VersionDef
getDescriptor() - 类中的静态方法org.tensorflow.framework.VersionsProtos
getDescriptor() - 类中的静态方法org.tensorflow.framework.WhileContextDef.Builder
getDescriptor() - 类中的静态方法org.tensorflow.framework.WhileContextDef
getDescriptor() - 类中的静态方法org.tensorflow.util.BundleEntryProto.Builder
getDescriptor() - 类中的静态方法org.tensorflow.util.BundleEntryProto
getDescriptor() - 类中的静态方法org.tensorflow.util.BundleHeaderProto.Builder
getDescriptor() - 枚举中的静态方法org.tensorflow.util.BundleHeaderProto.Endianness
getDescriptor() - 类中的静态方法org.tensorflow.util.BundleHeaderProto
getDescriptor() - 类中的静态方法org.tensorflow.util.IteratorProtos
getDescriptor() - 类中的静态方法org.tensorflow.util.IteratorStateMetadata.Builder
getDescriptor() - 类中的静态方法org.tensorflow.util.IteratorStateMetadata
getDescriptor() - 类中的静态方法org.tensorflow.util.SaverDef.Builder
getDescriptor() - 枚举中的静态方法org.tensorflow.util.SaverDef.CheckpointFormatVersion
getDescriptor() - 类中的静态方法org.tensorflow.util.SaverDef
getDescriptor() - 类中的静态方法org.tensorflow.util.SaverProtos
getDescriptor() - 类中的静态方法org.tensorflow.util.TensorBundleProtos
getDescriptor() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
getDescriptor() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
getDescriptor() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
getDescriptor() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
getDescriptor() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
getDescriptor() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
getDescriptor() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
getDescriptor() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
getDescriptor() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
getDescriptor() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
getDescriptor() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass
getDescriptor() - 类中的静态方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
getDescriptor() - 类中的静态方法tensorflow.DevicePropertiesProtos.DeviceProperties
getDescriptor() - 类中的静态方法tensorflow.DevicePropertiesProtos
getDescriptor() - 类中的静态方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
getDescriptor() - 类中的静态方法tensorflow.DevicePropertiesProtos.NamedDevice
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.Operation
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse.Builder
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
getDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
getDescriptor() - 类中的静态方法tensorflow.serving.Classification.Class.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.Classification.Class
getDescriptor() - 类中的静态方法tensorflow.serving.Classification.ClassificationRequest.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.Classification.ClassificationRequest
getDescriptor() - 类中的静态方法tensorflow.serving.Classification.ClassificationResponse.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.Classification.ClassificationResponse
getDescriptor() - 类中的静态方法tensorflow.serving.Classification.ClassificationResult.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.Classification.ClassificationResult
getDescriptor() - 类中的静态方法tensorflow.serving.Classification.Classifications.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.Classification.Classifications
getDescriptor() - 类中的静态方法tensorflow.serving.Classification
getDescriptor() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
getDescriptor() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
getDescriptor() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
getDescriptor() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
getDescriptor() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
getDescriptor() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
getDescriptor() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource
getDescriptor() - 类中的静态方法tensorflow.serving.GetModelMetadata
getDescriptor() - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
getDescriptor() - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
getDescriptor() - 类中的静态方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.GetModelMetadata.SignatureDefMap
getDescriptor() - 类中的静态方法tensorflow.serving.GetModelStatus
getDescriptor() - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
getDescriptor() - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
getDescriptor() - 类中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus
getDescriptor() - 枚举中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus.State
getDescriptor() - 类中的静态方法tensorflow.serving.Inference
getDescriptor() - 类中的静态方法tensorflow.serving.Inference.InferenceResult.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.Inference.InferenceResult
getDescriptor() - 类中的静态方法tensorflow.serving.Inference.InferenceTask.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.Inference.InferenceTask
getDescriptor() - 类中的静态方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.Inference.MultiInferenceRequest
getDescriptor() - 类中的静态方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.Inference.MultiInferenceResponse
getDescriptor() - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleList.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleList
getDescriptor() - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleListWithContext
getDescriptor() - 类中的静态方法tensorflow.serving.InputOuterClass
getDescriptor() - 类中的静态方法tensorflow.serving.InputOuterClass.Input.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.InputOuterClass.Input
getDescriptor() - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass
getDescriptor() - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
getDescriptor() - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
getDescriptor() - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
getDescriptor() - 类中的静态方法tensorflow.serving.LogCollectorConfigOuterClass
getDescriptor() - 类中的静态方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
getDescriptor() - 类中的静态方法tensorflow.serving.Logging
getDescriptor() - 类中的静态方法tensorflow.serving.Logging.LogMetadata.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.Logging.LogMetadata
getDescriptor() - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass
getDescriptor() - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
getDescriptor() - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
getDescriptor() - 类中的静态方法tensorflow.serving.Model
getDescriptor() - 类中的静态方法tensorflow.serving.Model.ModelSpec.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.Model.ModelSpec
getDescriptor() - 类中的静态方法tensorflow.serving.ModelManagement
getDescriptor() - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigRequest
getDescriptor() - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigResponse
getDescriptor() - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass
getDescriptor() - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
getDescriptor() - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
getDescriptor() - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
getDescriptor() - 枚举中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelType
getDescriptor() - 类中的静态方法tensorflow.serving.ModelServiceOuterClass
getDescriptor() - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass
getDescriptor() - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
getDescriptor() - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
getDescriptor() - 类中的静态方法tensorflow.serving.Predict
getDescriptor() - 类中的静态方法tensorflow.serving.Predict.PredictRequest.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.Predict.PredictRequest
getDescriptor() - 类中的静态方法tensorflow.serving.Predict.PredictResponse.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.Predict.PredictResponse
getDescriptor() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
getDescriptor() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass
getDescriptor() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
getDescriptor() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
getDescriptor() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictLog
getDescriptor() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.RegressLog
getDescriptor() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
getDescriptor() - 类中的静态方法tensorflow.serving.PredictionServiceOuterClass
getDescriptor() - 类中的静态方法tensorflow.serving.RegressionOuterClass
getDescriptor() - 类中的静态方法tensorflow.serving.RegressionOuterClass.Regression.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.RegressionOuterClass.Regression
getDescriptor() - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionRequest
getDescriptor() - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResponse
getDescriptor() - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResult
getDescriptor() - 类中的静态方法tensorflow.serving.SessionServiceOuterClass
getDescriptor() - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
getDescriptor() - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
getDescriptor() - 类中的静态方法tensorflow.serving.SslConfig
getDescriptor() - 类中的静态方法tensorflow.serving.SslConfig.SSLConfig.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.SslConfig.SSLConfig
getDescriptor() - 类中的静态方法tensorflow.serving.StaticStoragePathSource
getDescriptor() - 类中的静态方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
getDescriptor() - 类中的静态方法tensorflow.serving.Status
getDescriptor() - 类中的静态方法tensorflow.serving.Status.StatusProto.Builder
getDescriptor() - 类中的静态方法tensorflow.serving.Status.StatusProto
getDescriptor() - 类中的静态方法tensorflow.TransportOptions
getDescriptor() - 类中的静态方法tensorflow.TransportOptions.RecvBufRespExtra.Builder
getDescriptor() - 类中的静态方法tensorflow.TransportOptions.RecvBufRespExtra
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.CleanupAllResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.CloseSessionResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.GetStatusRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.JobDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.ResetResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.StepSequence.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder
getDescriptorForType() - 类中的方法org.tensorflow.distruntime.TracingResponse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.example.BytesList.Builder
getDescriptorForType() - 类中的方法org.tensorflow.example.Example.Builder
getDescriptorForType() - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
getDescriptorForType() - 类中的方法org.tensorflow.example.Feature.Builder
getDescriptorForType() - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder
getDescriptorForType() - 类中的方法org.tensorflow.example.FeatureList.Builder
getDescriptorForType() - 类中的方法org.tensorflow.example.FeatureLists.Builder
getDescriptorForType() - 类中的方法org.tensorflow.example.Features.Builder
getDescriptorForType() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
getDescriptorForType() - 类中的方法org.tensorflow.example.FloatList.Builder
getDescriptorForType() - 类中的方法org.tensorflow.example.Int64List.Builder
getDescriptorForType() - 类中的方法org.tensorflow.example.SequenceExample.Builder
getDescriptorForType() - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.AllocationDescription.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.AllocationRecord.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.ApiDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
getDescriptorForType() - 枚举中的方法org.tensorflow.framework.ApiDef.Visibility
getDescriptorForType() - 类中的方法org.tensorflow.framework.ApiDefs.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.AssetFileDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.AttrValue.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.CallableOptions.Builder
getDescriptorForType() - 枚举中的方法org.tensorflow.framework.Code
getDescriptorForType() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.CollectionDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.CondContextDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.ConfigProto.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.CostGraphDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
getDescriptorForType() - 枚举中的方法org.tensorflow.framework.DataType
getDescriptorForType() - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.DebugOptions.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.DeviceLocality.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.FunctionDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.GPUOptions.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.GradientDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.GraphDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.GraphOptions.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder
getDescriptorForType() - 枚举中的方法org.tensorflow.framework.GraphTransferInfo.Destination
getDescriptorForType() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.HistogramProto.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.InterconnectLink.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.KernelDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.KernelList.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.LocalLinks.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.MemoryStats.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.NameAttrList.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.NodeDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.NodeOutput.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.OpDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.OpDeprecation.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.OpList.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder
getDescriptorForType() - 枚举中的方法org.tensorflow.framework.OptimizerOptions.GlobalJitLevel
getDescriptorForType() - 枚举中的方法org.tensorflow.framework.OptimizerOptions.Level
getDescriptorForType() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
getDescriptorForType() - 枚举中的方法org.tensorflow.framework.RewriterConfig.MemOptType
getDescriptorForType() - 枚举中的方法org.tensorflow.framework.RewriterConfig.NumIterationsType
getDescriptorForType() - 枚举中的方法org.tensorflow.framework.RewriterConfig.Toggle
getDescriptorForType() - 类中的方法org.tensorflow.framework.RPCOptions.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.RunMetadata.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.RunOptions.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.RunOptions.Experimental.Builder
getDescriptorForType() - 枚举中的方法org.tensorflow.framework.RunOptions.TraceLevel
getDescriptorForType() - 类中的方法org.tensorflow.framework.SavedModel.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.SignatureDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.StepStats.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.Summary.Audio.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.Summary.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.Summary.Image.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.Summary.Value.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.SummaryDescription.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.TensorConnection.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.TensorDescription.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.TensorInfo.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.TensorProto.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.ValuesDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.VariableDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.VersionDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder
getDescriptorForType() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder
getDescriptorForType() - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder
getDescriptorForType() - 枚举中的方法org.tensorflow.util.BundleHeaderProto.Endianness
getDescriptorForType() - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder
getDescriptorForType() - 类中的方法org.tensorflow.util.SaverDef.Builder
getDescriptorForType() - 枚举中的方法org.tensorflow.util.SaverDef.CheckpointFormatVersion
getDescriptorForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
getDescriptorForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
getDescriptorForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
getDescriptorForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
getDescriptorForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
getDescriptorForType() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
getDescriptorForType() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
getDescriptorForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
getDescriptorForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
getDescriptorForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
getDescriptorForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
getDescriptorForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
getDescriptorForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
getDescriptorForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
getDescriptorForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
getDescriptorForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
getDescriptorForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
getDescriptorForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
getDescriptorForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
getDescriptorForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
getDescriptorForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
getDescriptorForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
getDescriptorForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse.Builder
getDescriptorForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
getDescriptorForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.Classification.Class.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.Classification.Classifications.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
getDescriptorForType() - 枚举中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.State
getDescriptorForType() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
getDescriptorForType() - 枚举中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelType
getDescriptorForType() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
getDescriptorForType() - 类中的方法tensorflow.serving.Status.StatusProto.Builder
getDescriptorForType() - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder
getDestination() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Destination of graph transfer .tensorflow.GraphTransferInfo.Destination destination = 7;
getDestination() - 类中的方法org.tensorflow.framework.GraphTransferInfo: Destination of graph transfer .tensorflow.GraphTransferInfo.Destination destination = 7;
getDestination() - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: Destination of graph transfer .tensorflow.GraphTransferInfo.Destination destination = 7;
getDestinationValue() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Destination of graph transfer .tensorflow.GraphTransferInfo.Destination destination = 7;
getDestinationValue() - 类中的方法org.tensorflow.framework.GraphTransferInfo: Destination of graph transfer .tensorflow.GraphTransferInfo.Destination destination = 7;
getDestinationValue() - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: Destination of graph transfer .tensorflow.GraphTransferInfo.Destination destination = 7;
getDevice() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: string device = 10;
getDevice() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest: string device = 10;
getDevice() - 接口中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder: string device = 10;
getDevice() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: The device of the node.
getDevice() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: The device of the node.
getDevice() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: The device of the node.
getDevice() - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: string device = 1;
getDevice() - 类中的方法org.tensorflow.framework.DeviceStepStats: string device = 1;
getDevice() - 接口中的方法org.tensorflow.framework.DeviceStepStatsOrBuilder: string device = 1;
getDevice() - 类中的方法org.tensorflow.framework.NodeDef.Builder: A (possibly partial) specification for the device on which this node should be placed.
getDevice() - 类中的方法org.tensorflow.framework.NodeDef: A (possibly partial) specification for the device on which this node should be placed.
getDevice() - 接口中的方法org.tensorflow.framework.NodeDefOrBuilder: A (possibly partial) specification for the device on which this node should be placed.
getDevice() - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: Unique name for the device containing the resource.
getDevice() - 类中的方法org.tensorflow.framework.ResourceHandleProto: Unique name for the device containing the resource.
getDevice() - 接口中的方法org.tensorflow.framework.ResourceHandleProtoOrBuilder: Unique name for the device containing the resource.
getDevice() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: string device = 6;
getDevice() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation: string device = 6;
getDevice() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder: string device = 6;
getDeviceAttributes(int) - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
getDeviceAttributes(int) - 类中的方法org.tensorflow.distruntime.GetStatusResponse: repeated .tensorflow.DeviceAttributes device_attributes = 1;
getDeviceAttributes(int) - 接口中的方法org.tensorflow.distruntime.GetStatusResponseOrBuilder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
getDeviceAttributes(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder: List of devices that are locally accessible to the worker.
getDeviceAttributes(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse: List of devices that are locally accessible to the worker.
getDeviceAttributes(int) - 接口中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder: List of devices that are locally accessible to the worker.
getDeviceAttributesBuilder(int) - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
getDeviceAttributesBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder: List of devices that are locally accessible to the worker.
getDeviceAttributesBuilderList() - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
getDeviceAttributesBuilderList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder: List of devices that are locally accessible to the worker.
getDeviceAttributesCount() - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
getDeviceAttributesCount() - 类中的方法org.tensorflow.distruntime.GetStatusResponse: repeated .tensorflow.DeviceAttributes device_attributes = 1;
getDeviceAttributesCount() - 接口中的方法org.tensorflow.distruntime.GetStatusResponseOrBuilder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
getDeviceAttributesCount() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder: List of devices that are locally accessible to the worker.
getDeviceAttributesCount() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse: List of devices that are locally accessible to the worker.
getDeviceAttributesCount() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder: List of devices that are locally accessible to the worker.
getDeviceAttributesList() - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
getDeviceAttributesList() - 类中的方法org.tensorflow.distruntime.GetStatusResponse: repeated .tensorflow.DeviceAttributes device_attributes = 1;
getDeviceAttributesList() - 接口中的方法org.tensorflow.distruntime.GetStatusResponseOrBuilder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
getDeviceAttributesList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder: List of devices that are locally accessible to the worker.
getDeviceAttributesList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse: List of devices that are locally accessible to the worker.
getDeviceAttributesList() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder: List of devices that are locally accessible to the worker.
getDeviceAttributesOrBuilder(int) - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
getDeviceAttributesOrBuilder(int) - 类中的方法org.tensorflow.distruntime.GetStatusResponse: repeated .tensorflow.DeviceAttributes device_attributes = 1;
getDeviceAttributesOrBuilder(int) - 接口中的方法org.tensorflow.distruntime.GetStatusResponseOrBuilder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
getDeviceAttributesOrBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder: List of devices that are locally accessible to the worker.
getDeviceAttributesOrBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse: List of devices that are locally accessible to the worker.
getDeviceAttributesOrBuilder(int) - 接口中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder: List of devices that are locally accessible to the worker.
getDeviceAttributesOrBuilderList() - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
getDeviceAttributesOrBuilderList() - 类中的方法org.tensorflow.distruntime.GetStatusResponse: repeated .tensorflow.DeviceAttributes device_attributes = 1;
getDeviceAttributesOrBuilderList() - 接口中的方法org.tensorflow.distruntime.GetStatusResponseOrBuilder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
getDeviceAttributesOrBuilderList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder: List of devices that are locally accessible to the worker.
getDeviceAttributesOrBuilderList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse: List of devices that are locally accessible to the worker.
getDeviceAttributesOrBuilderList() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder: List of devices that are locally accessible to the worker.
getDeviceBytes() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: string device = 10;
getDeviceBytes() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest: string device = 10;
getDeviceBytes() - 接口中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder: string device = 10;
getDeviceBytes() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: The device of the node.
getDeviceBytes() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: The device of the node.
getDeviceBytes() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: The device of the node.
getDeviceBytes() - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: string device = 1;
getDeviceBytes() - 类中的方法org.tensorflow.framework.DeviceStepStats: string device = 1;
getDeviceBytes() - 接口中的方法org.tensorflow.framework.DeviceStepStatsOrBuilder: string device = 1;
getDeviceBytes() - 类中的方法org.tensorflow.framework.NodeDef.Builder: A (possibly partial) specification for the device on which this node should be placed.
getDeviceBytes() - 类中的方法org.tensorflow.framework.NodeDef: A (possibly partial) specification for the device on which this node should be placed.
getDeviceBytes() - 接口中的方法org.tensorflow.framework.NodeDefOrBuilder: A (possibly partial) specification for the device on which this node should be placed.
getDeviceBytes() - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: Unique name for the device containing the resource.
getDeviceBytes() - 类中的方法org.tensorflow.framework.ResourceHandleProto: Unique name for the device containing the resource.
getDeviceBytes() - 接口中的方法org.tensorflow.framework.ResourceHandleProtoOrBuilder: Unique name for the device containing the resource.
getDeviceBytes() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: string device = 6;
getDeviceBytes() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation: string device = 6;
getDeviceBytes() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder: string device = 6;
getDeviceCount() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: 已过时。
getDeviceCount() - 类中的方法org.tensorflow.framework.ConfigProto: 已过时。
getDeviceCount() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: 已过时。
getDeviceCountCount() - 类中的方法org.tensorflow.framework.ConfigProto.Builder
getDeviceCountCount() - 类中的方法org.tensorflow.framework.ConfigProto
getDeviceCountCount() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountMap() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountMap() - 类中的方法org.tensorflow.framework.ConfigProto: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountMap() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountOrDefault(String, int) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountOrDefault(String, int) - 类中的方法org.tensorflow.framework.ConfigProto: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountOrDefault(String, int) - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountOrThrow(String) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountOrThrow(String) - 类中的方法org.tensorflow.framework.ConfigProto: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountOrThrow(String) - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceFilters(int) - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder: When any filters are present, only devices that match the filters will be reset.
getDeviceFilters(int) - 类中的方法org.tensorflow.distruntime.ResetRequest: When any filters are present, only devices that match the filters will be reset.
getDeviceFilters(int) - 接口中的方法org.tensorflow.distruntime.ResetRequestOrBuilder: When any filters are present, only devices that match the filters will be reset.
getDeviceFilters(int) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFilters(int) - 类中的方法org.tensorflow.framework.ConfigProto: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFilters(int) - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersBytes(int) - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder: When any filters are present, only devices that match the filters will be reset.
getDeviceFiltersBytes(int) - 类中的方法org.tensorflow.distruntime.ResetRequest: When any filters are present, only devices that match the filters will be reset.
getDeviceFiltersBytes(int) - 接口中的方法org.tensorflow.distruntime.ResetRequestOrBuilder: When any filters are present, only devices that match the filters will be reset.
getDeviceFiltersBytes(int) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersBytes(int) - 类中的方法org.tensorflow.framework.ConfigProto: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersBytes(int) - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersCount() - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder: When any filters are present, only devices that match the filters will be reset.
getDeviceFiltersCount() - 类中的方法org.tensorflow.distruntime.ResetRequest: When any filters are present, only devices that match the filters will be reset.
getDeviceFiltersCount() - 接口中的方法org.tensorflow.distruntime.ResetRequestOrBuilder: When any filters are present, only devices that match the filters will be reset.
getDeviceFiltersCount() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersCount() - 类中的方法org.tensorflow.framework.ConfigProto: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersCount() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersList() - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder: When any filters are present, only devices that match the filters will be reset.
getDeviceFiltersList() - 类中的方法org.tensorflow.distruntime.ResetRequest: When any filters are present, only devices that match the filters will be reset.
getDeviceFiltersList() - 接口中的方法org.tensorflow.distruntime.ResetRequestOrBuilder: When any filters are present, only devices that match the filters will be reset.
getDeviceFiltersList() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersList() - 类中的方法org.tensorflow.framework.ConfigProto: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersList() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceId() - 类中的方法org.tensorflow.framework.InterconnectLink.Builder: int32 device_id = 1;
getDeviceId() - 类中的方法org.tensorflow.framework.InterconnectLink: int32 device_id = 1;
getDeviceId() - 接口中的方法org.tensorflow.framework.InterconnectLinkOrBuilder: int32 device_id = 1;
getDeviceName(int) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder: repeated string device_name = 4;
getDeviceName(int) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest: repeated string device_name = 4;
getDeviceName(int) - 接口中的方法org.tensorflow.distruntime.CompleteGroupRequestOrBuilder: repeated string device_name = 4;
getDeviceName(int) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: repeated string device_name = 5;
getDeviceName(int) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse: repeated string device_name = 5;
getDeviceName(int) - 接口中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder: repeated string device_name = 5;
getDeviceName() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The device on which the tensors should be resident.
getDeviceName() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest: The device on which the tensors should be resident.
getDeviceName() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequestOrBuilder: The device on which the tensors should be resident.
getDeviceNameBytes(int) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder: repeated string device_name = 4;
getDeviceNameBytes(int) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest: repeated string device_name = 4;
getDeviceNameBytes(int) - 接口中的方法org.tensorflow.distruntime.CompleteGroupRequestOrBuilder: repeated string device_name = 4;
getDeviceNameBytes(int) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: repeated string device_name = 5;
getDeviceNameBytes(int) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse: repeated string device_name = 5;
getDeviceNameBytes(int) - 接口中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder: repeated string device_name = 5;
getDeviceNameBytes() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The device on which the tensors should be resident.
getDeviceNameBytes() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest: The device on which the tensors should be resident.
getDeviceNameBytes() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequestOrBuilder: The device on which the tensors should be resident.
getDeviceNameCount() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder: repeated string device_name = 4;
getDeviceNameCount() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest: repeated string device_name = 4;
getDeviceNameCount() - 接口中的方法org.tensorflow.distruntime.CompleteGroupRequestOrBuilder: repeated string device_name = 4;
getDeviceNameCount() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: repeated string device_name = 5;
getDeviceNameCount() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse: repeated string device_name = 5;
getDeviceNameCount() - 接口中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder: repeated string device_name = 5;
getDeviceNameList() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder: repeated string device_name = 4;
getDeviceNameList() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest: repeated string device_name = 4;
getDeviceNameList() - 接口中的方法org.tensorflow.distruntime.CompleteGroupRequestOrBuilder: repeated string device_name = 4;
getDeviceNameList() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: repeated string device_name = 5;
getDeviceNameList() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse: repeated string device_name = 5;
getDeviceNameList() - 接口中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder: repeated string device_name = 5;
getDevicePersistentMemorySize() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: 已过时。
getDevicePersistentMemorySize() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: 已过时。
getDevicePersistentMemorySize() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: 已过时。
getDevicePersistentMemorySize() - 类中的方法org.tensorflow.framework.MemoryStats.Builder: 已过时。
getDevicePersistentMemorySize() - 类中的方法org.tensorflow.framework.MemoryStats: 已过时。
getDevicePersistentMemorySize() - 接口中的方法org.tensorflow.framework.MemoryStatsOrBuilder: 已过时。
getDevicePersistentTensorAllocIds(int) - 类中的方法org.tensorflow.framework.MemoryStats.Builder: 已过时。
getDevicePersistentTensorAllocIds(int) - 类中的方法org.tensorflow.framework.MemoryStats: 已过时。
getDevicePersistentTensorAllocIds(int) - 接口中的方法org.tensorflow.framework.MemoryStatsOrBuilder: 已过时。
getDevicePersistentTensorAllocIdsCount() - 类中的方法org.tensorflow.framework.MemoryStats.Builder: 已过时。
getDevicePersistentTensorAllocIdsCount() - 类中的方法org.tensorflow.framework.MemoryStats: 已过时。
getDevicePersistentTensorAllocIdsCount() - 接口中的方法org.tensorflow.framework.MemoryStatsOrBuilder: 已过时。
getDevicePersistentTensorAllocIdsList() - 类中的方法org.tensorflow.framework.MemoryStats.Builder: 已过时。
getDevicePersistentTensorAllocIdsList() - 类中的方法org.tensorflow.framework.MemoryStats: 已过时。
getDevicePersistentTensorAllocIdsList() - 接口中的方法org.tensorflow.framework.MemoryStatsOrBuilder: 已过时。
getDeviceTempMemorySize() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: 已过时。
getDeviceTempMemorySize() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: 已过时。
getDeviceTempMemorySize() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: 已过时。
getDeviceTempMemorySize() - 类中的方法org.tensorflow.framework.MemoryStats.Builder: 已过时。
getDeviceTempMemorySize() - 类中的方法org.tensorflow.framework.MemoryStats: 已过时。
getDeviceTempMemorySize() - 接口中的方法org.tensorflow.framework.MemoryStatsOrBuilder: 已过时。
getDeviceType() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder: string device_type = 3;
getDeviceType() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest: string device_type = 3;
getDeviceType() - 接口中的方法org.tensorflow.distruntime.CompleteGroupRequestOrBuilder: string device_type = 3;
getDeviceType() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: string device_type = 3;
getDeviceType() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse: string device_type = 3;
getDeviceType() - 接口中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder: string device_type = 3;
getDeviceType() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: string device_type = 8;
getDeviceType() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest: string device_type = 8;
getDeviceType() - 接口中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder: string device_type = 8;
getDeviceType() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: String representation of device_type.
getDeviceType() - 类中的方法org.tensorflow.framework.DeviceAttributes: String representation of device_type.
getDeviceType() - 接口中的方法org.tensorflow.framework.DeviceAttributesOrBuilder: String representation of device_type.
getDeviceType() - 类中的方法org.tensorflow.framework.KernelDef.Builder: Type of device this kernel runs on.
getDeviceType() - 类中的方法org.tensorflow.framework.KernelDef: Type of device this kernel runs on.
getDeviceType() - 接口中的方法org.tensorflow.framework.KernelDefOrBuilder: Type of device this kernel runs on.
getDeviceTypeBytes() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder: string device_type = 3;
getDeviceTypeBytes() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest: string device_type = 3;
getDeviceTypeBytes() - 接口中的方法org.tensorflow.distruntime.CompleteGroupRequestOrBuilder: string device_type = 3;
getDeviceTypeBytes() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: string device_type = 3;
getDeviceTypeBytes() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse: string device_type = 3;
getDeviceTypeBytes() - 接口中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder: string device_type = 3;
getDeviceTypeBytes() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: string device_type = 8;
getDeviceTypeBytes() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest: string device_type = 8;
getDeviceTypeBytes() - 接口中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder: string device_type = 8;
getDeviceTypeBytes() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: String representation of device_type.
getDeviceTypeBytes() - 类中的方法org.tensorflow.framework.DeviceAttributes: String representation of device_type.
getDeviceTypeBytes() - 接口中的方法org.tensorflow.framework.DeviceAttributesOrBuilder: String representation of device_type.
getDeviceTypeBytes() - 类中的方法org.tensorflow.framework.KernelDef.Builder: Type of device this kernel runs on.
getDeviceTypeBytes() - 类中的方法org.tensorflow.framework.KernelDef: Type of device this kernel runs on.
getDeviceTypeBytes() - 接口中的方法org.tensorflow.framework.KernelDefOrBuilder: Type of device this kernel runs on.
getDevStats(int) - 类中的方法org.tensorflow.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStats(int) - 类中的方法org.tensorflow.framework.StepStats: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStats(int) - 接口中的方法org.tensorflow.framework.StepStatsOrBuilder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsBuilder(int) - 类中的方法org.tensorflow.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsBuilderList() - 类中的方法org.tensorflow.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsCount() - 类中的方法org.tensorflow.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsCount() - 类中的方法org.tensorflow.framework.StepStats: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsCount() - 接口中的方法org.tensorflow.framework.StepStatsOrBuilder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsList() - 类中的方法org.tensorflow.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsList() - 类中的方法org.tensorflow.framework.StepStats: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsList() - 接口中的方法org.tensorflow.framework.StepStatsOrBuilder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsOrBuilder(int) - 类中的方法org.tensorflow.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsOrBuilder(int) - 类中的方法org.tensorflow.framework.StepStats: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsOrBuilder(int) - 接口中的方法org.tensorflow.framework.StepStatsOrBuilder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsOrBuilderList() - 类中的方法org.tensorflow.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsOrBuilderList() - 类中的方法org.tensorflow.framework.StepStats: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsOrBuilderList() - 接口中的方法org.tensorflow.framework.StepStatsOrBuilder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDim(int) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDim(int) - 类中的方法org.tensorflow.framework.TensorShapeProto: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDim(int) - 接口中的方法org.tensorflow.framework.TensorShapeProtoOrBuilder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimBuilder(int) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimBuilderList() - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimCount() - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimCount() - 类中的方法org.tensorflow.framework.TensorShapeProto: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimCount() - 接口中的方法org.tensorflow.framework.TensorShapeProtoOrBuilder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimList() - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimList() - 类中的方法org.tensorflow.framework.TensorShapeProto: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimList() - 接口中的方法org.tensorflow.framework.TensorShapeProtoOrBuilder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimOrBuilder(int) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimOrBuilder(int) - 类中的方法org.tensorflow.framework.TensorShapeProto: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimOrBuilder(int) - 接口中的方法org.tensorflow.framework.TensorShapeProtoOrBuilder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimOrBuilderList() - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimOrBuilderList() - 类中的方法org.tensorflow.framework.TensorShapeProto: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimOrBuilderList() - 接口中的方法org.tensorflow.framework.TensorShapeProtoOrBuilder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDisableModelPruning() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2;
getDisableModelPruning() - 类中的方法org.tensorflow.framework.RewriterConfig: If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2;
getDisableModelPruning() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2;
getDisableRpcLogging() - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder: If true, RPC logging will be disabled.
getDisableRpcLogging() - 类中的方法org.tensorflow.distruntime.LoggingRequest: If true, RPC logging will be disabled.
getDisableRpcLogging() - 接口中的方法org.tensorflow.distruntime.LoggingRequestOrBuilder: If true, RPC logging will be disabled.
getDisplayName() - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder: Display name for viewing in TensorBoard.
getDisplayName() - 类中的方法org.tensorflow.framework.SummaryMetadata: Display name for viewing in TensorBoard.
getDisplayName() - 接口中的方法org.tensorflow.framework.SummaryMetadataOrBuilder: Display name for viewing in TensorBoard.
getDisplayNameBytes() - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder: Display name for viewing in TensorBoard.
getDisplayNameBytes() - 类中的方法org.tensorflow.framework.SummaryMetadata: Display name for viewing in TensorBoard.
getDisplayNameBytes() - 接口中的方法org.tensorflow.framework.SummaryMetadataOrBuilder: Display name for viewing in TensorBoard.
getDmaOk() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: If true, use an out-of-band DMA mechanism to transfer the received tensor.
getDmaOk() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest: If true, use an out-of-band DMA mechanism to transfer the received tensor.
getDmaOk() - 接口中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder: If true, use an out-of-band DMA mechanism to transfer the received tensor.
getDoCommonSubexpressionElimination() - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder: If true, optimize the graph using common subexpression elimination.
getDoCommonSubexpressionElimination() - 类中的方法org.tensorflow.framework.OptimizerOptions: If true, optimize the graph using common subexpression elimination.
getDoCommonSubexpressionElimination() - 接口中的方法org.tensorflow.framework.OptimizerOptionsOrBuilder: If true, optimize the graph using common subexpression elimination.
getDoConstantFolding() - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder: If true, perform constant folding optimization on the graph.
getDoConstantFolding() - 类中的方法org.tensorflow.framework.OptimizerOptions: If true, perform constant folding optimization on the graph.
getDoConstantFolding() - 接口中的方法org.tensorflow.framework.OptimizerOptionsOrBuilder: If true, perform constant folding optimization on the graph.
getDoFunctionInlining() - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder: If true, perform function inlining on the graph.
getDoFunctionInlining() - 类中的方法org.tensorflow.framework.OptimizerOptions: If true, perform function inlining on the graph.
getDoFunctionInlining() - 接口中的方法org.tensorflow.framework.OptimizerOptionsOrBuilder: If true, perform function inlining on the graph.
getDoubleVal(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_DOUBLE.
getDoubleVal(int) - 类中的方法org.tensorflow.framework.TensorProto: DT_DOUBLE.
getDoubleVal(int) - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_DOUBLE.
getDoubleValCount() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_DOUBLE.
getDoubleValCount() - 类中的方法org.tensorflow.framework.TensorProto: DT_DOUBLE.
getDoubleValCount() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_DOUBLE.
getDoubleValList() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_DOUBLE.
getDoubleValList() - 类中的方法org.tensorflow.framework.TensorProto: DT_DOUBLE.
getDoubleValList() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_DOUBLE.
getDstDevice() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: string dst_device = 9;
getDstDevice() - 类中的方法org.tensorflow.distruntime.RecvBufRequest: string dst_device = 9;
getDstDevice() - 接口中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder: string dst_device = 9;
getDstDeviceBytes() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: string dst_device = 9;
getDstDeviceBytes() - 类中的方法org.tensorflow.distruntime.RecvBufRequest: string dst_device = 9;
getDstDeviceBytes() - 接口中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder: string dst_device = 9;
getDtype() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
getDtype() - 类中的方法org.tensorflow.example.FixedLenFeatureProto: .tensorflow.DataType dtype = 1;
getDtype() - 接口中的方法org.tensorflow.example.FixedLenFeatureProtoOrBuilder: .tensorflow.DataType dtype = 1;
getDtype() - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
getDtype() - 类中的方法org.tensorflow.example.VarLenFeatureProto: .tensorflow.DataType dtype = 1;
getDtype() - 接口中的方法org.tensorflow.example.VarLenFeatureProtoOrBuilder: .tensorflow.DataType dtype = 1;
getDtype() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.DataType dtype = 4;
getDtype() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo: .tensorflow.DataType dtype = 4;
getDtype() - 接口中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder: .tensorflow.DataType dtype = 4;
getDtype() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: .tensorflow.DataType dtype = 5;
getDtype() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo: .tensorflow.DataType dtype = 5;
getDtype() - 接口中的方法org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder: .tensorflow.DataType dtype = 5;
getDtype() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
getDtype() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo: .tensorflow.DataType dtype = 3;
getDtype() - 接口中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder: .tensorflow.DataType dtype = 3;
getDtype() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
getDtype() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo: .tensorflow.DataType dtype = 3;
getDtype() - 接口中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder: .tensorflow.DataType dtype = 3;
getDtype() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder: .tensorflow.DataType dtype = 1;
getDtype() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto: .tensorflow.DataType dtype = 1;
getDtype() - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder: .tensorflow.DataType dtype = 1;
getDtype() - 类中的方法org.tensorflow.framework.TensorDescription.Builder: Data type of tensor elements .tensorflow.DataType dtype = 1;
getDtype() - 类中的方法org.tensorflow.framework.TensorDescription: Data type of tensor elements .tensorflow.DataType dtype = 1;
getDtype() - 接口中的方法org.tensorflow.framework.TensorDescriptionOrBuilder: Data type of tensor elements .tensorflow.DataType dtype = 1;
getDtype() - 类中的方法org.tensorflow.framework.TensorInfo.Builder: .tensorflow.DataType dtype = 2;
getDtype() - 类中的方法org.tensorflow.framework.TensorInfo: .tensorflow.DataType dtype = 2;
getDtype() - 接口中的方法org.tensorflow.framework.TensorInfoOrBuilder: .tensorflow.DataType dtype = 2;
getDtype() - 类中的方法org.tensorflow.framework.TensorProto.Builder: .tensorflow.DataType dtype = 1;
getDtype() - 类中的方法org.tensorflow.framework.TensorProto: .tensorflow.DataType dtype = 1;
getDtype() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: .tensorflow.DataType dtype = 1;
getDtype() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: The tensor dtype and shape.
getDtype() - 类中的方法org.tensorflow.util.BundleEntryProto: The tensor dtype and shape.
getDtype() - 接口中的方法org.tensorflow.util.BundleEntryProtoOrBuilder: The tensor dtype and shape.
getDtypeValue() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
getDtypeValue() - 类中的方法org.tensorflow.example.FixedLenFeatureProto: .tensorflow.DataType dtype = 1;
getDtypeValue() - 接口中的方法org.tensorflow.example.FixedLenFeatureProtoOrBuilder: .tensorflow.DataType dtype = 1;
getDtypeValue() - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
getDtypeValue() - 类中的方法org.tensorflow.example.VarLenFeatureProto: .tensorflow.DataType dtype = 1;
getDtypeValue() - 接口中的方法org.tensorflow.example.VarLenFeatureProtoOrBuilder: .tensorflow.DataType dtype = 1;
getDtypeValue() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.DataType dtype = 4;
getDtypeValue() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo: .tensorflow.DataType dtype = 4;
getDtypeValue() - 接口中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder: .tensorflow.DataType dtype = 4;
getDtypeValue() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: .tensorflow.DataType dtype = 5;
getDtypeValue() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo: .tensorflow.DataType dtype = 5;
getDtypeValue() - 接口中的方法org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder: .tensorflow.DataType dtype = 5;
getDtypeValue() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
getDtypeValue() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo: .tensorflow.DataType dtype = 3;
getDtypeValue() - 接口中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder: .tensorflow.DataType dtype = 3;
getDtypeValue() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
getDtypeValue() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo: .tensorflow.DataType dtype = 3;
getDtypeValue() - 接口中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder: .tensorflow.DataType dtype = 3;
getDtypeValue() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder: .tensorflow.DataType dtype = 1;
getDtypeValue() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto: .tensorflow.DataType dtype = 1;
getDtypeValue() - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder: .tensorflow.DataType dtype = 1;
getDtypeValue() - 类中的方法org.tensorflow.framework.TensorDescription.Builder: Data type of tensor elements .tensorflow.DataType dtype = 1;
getDtypeValue() - 类中的方法org.tensorflow.framework.TensorDescription: Data type of tensor elements .tensorflow.DataType dtype = 1;
getDtypeValue() - 接口中的方法org.tensorflow.framework.TensorDescriptionOrBuilder: Data type of tensor elements .tensorflow.DataType dtype = 1;
getDtypeValue() - 类中的方法org.tensorflow.framework.TensorInfo.Builder: .tensorflow.DataType dtype = 2;
getDtypeValue() - 类中的方法org.tensorflow.framework.TensorInfo: .tensorflow.DataType dtype = 2;
getDtypeValue() - 接口中的方法org.tensorflow.framework.TensorInfoOrBuilder: .tensorflow.DataType dtype = 2;
getDtypeValue() - 类中的方法org.tensorflow.framework.TensorProto.Builder: .tensorflow.DataType dtype = 1;
getDtypeValue() - 类中的方法org.tensorflow.framework.TensorProto: .tensorflow.DataType dtype = 1;
getDtypeValue() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: .tensorflow.DataType dtype = 1;
getDtypeValue() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: The tensor dtype and shape.
getDtypeValue() - 类中的方法org.tensorflow.util.BundleEntryProto: The tensor dtype and shape.
getDtypeValue() - 接口中的方法org.tensorflow.util.BundleEntryProtoOrBuilder: The tensor dtype and shape.
getDuration() - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder: Length of the trace to be taken, in seconds.
getDuration() - 类中的方法org.tensorflow.distruntime.TraceOpts: Length of the trace to be taken, in seconds.
getDuration() - 接口中的方法org.tensorflow.distruntime.TraceOptsOrBuilder: Length of the trace to be taken, in seconds.
getEnable() - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder: bool enable = 1;
getEnable() - 类中的方法org.tensorflow.framework.AutoParallelOptions: bool enable = 1;
getEnable() - 接口中的方法org.tensorflow.framework.AutoParallelOptionsOrBuilder: bool enable = 1;
getEnableBfloat16Sendrecv() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: If true, transfer float values between processes as bfloat16.
getEnableBfloat16Sendrecv() - 类中的方法org.tensorflow.framework.GraphOptions: If true, transfer float values between processes as bfloat16.
getEnableBfloat16Sendrecv() - 接口中的方法org.tensorflow.framework.GraphOptionsOrBuilder: If true, transfer float values between processes as bfloat16.
getEnableOp(int) - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
getEnableOp(int) - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions: If present, only perform optimization for these ops.
getEnableOp(int) - 接口中的方法org.tensorflow.framework.ScopedAllocatorOptionsOrBuilder: If present, only perform optimization for these ops.
getEnableOpBytes(int) - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
getEnableOpBytes(int) - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions: If present, only perform optimization for these ops.
getEnableOpBytes(int) - 接口中的方法org.tensorflow.framework.ScopedAllocatorOptionsOrBuilder: If present, only perform optimization for these ops.
getEnableOpCount() - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
getEnableOpCount() - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions: If present, only perform optimization for these ops.
getEnableOpCount() - 接口中的方法org.tensorflow.framework.ScopedAllocatorOptionsOrBuilder: If present, only perform optimization for these ops.
getEnableOpList() - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
getEnableOpList() - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions: If present, only perform optimization for these ops.
getEnableOpList() - 接口中的方法org.tensorflow.framework.ScopedAllocatorOptionsOrBuilder: If present, only perform optimization for these ops.
getEnableRecvScheduling() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: If true, use control flow to schedule the activation of Recv nodes.
getEnableRecvScheduling() - 类中的方法org.tensorflow.framework.GraphOptions: If true, use control flow to schedule the activation of Recv nodes.
getEnableRecvScheduling() - 接口中的方法org.tensorflow.framework.GraphOptionsOrBuilder: If true, use control flow to schedule the activation of Recv nodes.
getEnableRpcLogging() - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder: If true, RPC logging will be enabled.
getEnableRpcLogging() - 类中的方法org.tensorflow.distruntime.LoggingRequest: If true, RPC logging will be enabled.
getEnableRpcLogging() - 接口中的方法org.tensorflow.distruntime.LoggingRequestOrBuilder: If true, RPC logging will be enabled.
getEncodedAudioString() - 类中的方法org.tensorflow.framework.Summary.Audio.Builder: Encoded audio data and its associated RFC 2045 content type (e.g.
getEncodedAudioString() - 类中的方法org.tensorflow.framework.Summary.Audio: Encoded audio data and its associated RFC 2045 content type (e.g.
getEncodedAudioString() - 接口中的方法org.tensorflow.framework.Summary.AudioOrBuilder: Encoded audio data and its associated RFC 2045 content type (e.g.
getEncodedImageString() - 类中的方法org.tensorflow.framework.Summary.Image.Builder: Image data in encoded format.
getEncodedImageString() - 类中的方法org.tensorflow.framework.Summary.Image: Image data in encoded format.
getEncodedImageString() - 接口中的方法org.tensorflow.framework.Summary.ImageOrBuilder: Image data in encoded format.
getEncodingCase() - 类中的方法org.tensorflow.framework.TensorInfo.Builder
getEncodingCase() - 类中的方法org.tensorflow.framework.TensorInfo
getEncodingCase() - 接口中的方法org.tensorflow.framework.TensorInfoOrBuilder
getEndianness() - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
getEndianness() - 类中的方法org.tensorflow.util.BundleHeaderProto: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
getEndianness() - 接口中的方法org.tensorflow.util.BundleHeaderProtoOrBuilder: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
getEndiannessValue() - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
getEndiannessValue() - 类中的方法org.tensorflow.util.BundleHeaderProto: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
getEndiannessValue() - 接口中的方法org.tensorflow.util.BundleHeaderProtoOrBuilder: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
getEndpoint(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpoint(int) - 类中的方法org.tensorflow.framework.ApiDef: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpoint(int) - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointBuilder(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointBuilderList() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointCount() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointCount() - 类中的方法org.tensorflow.framework.ApiDef: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointCount() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointList() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointList() - 类中的方法org.tensorflow.framework.ApiDef: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointList() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointOrBuilder(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointOrBuilder(int) - 类中的方法org.tensorflow.framework.ApiDef: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointOrBuilder(int) - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointOrBuilderList() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointOrBuilderList() - 类中的方法org.tensorflow.framework.ApiDef: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointOrBuilderList() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEnqueueMethod() - 类中的静态方法tensorflow.eager.EagerServiceGrpc
getEnqueueOpName(int) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: A list of enqueue operations.
getEnqueueOpName(int) - 类中的方法org.tensorflow.framework.QueueRunnerDef: A list of enqueue operations.
getEnqueueOpName(int) - 接口中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder: A list of enqueue operations.
getEnqueueOpNameBytes(int) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: A list of enqueue operations.
getEnqueueOpNameBytes(int) - 类中的方法org.tensorflow.framework.QueueRunnerDef: A list of enqueue operations.
getEnqueueOpNameBytes(int) - 接口中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder: A list of enqueue operations.
getEnqueueOpNameCount() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: A list of enqueue operations.
getEnqueueOpNameCount() - 类中的方法org.tensorflow.framework.QueueRunnerDef: A list of enqueue operations.
getEnqueueOpNameCount() - 接口中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder: A list of enqueue operations.
getEnqueueOpNameList() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: A list of enqueue operations.
getEnqueueOpNameList() - 类中的方法org.tensorflow.framework.QueueRunnerDef: A list of enqueue operations.
getEnqueueOpNameList() - 接口中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder: A list of enqueue operations.
getEnvironment() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: 已过时。
getEnvironment() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties: 已过时。
getEnvironment() - 接口中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder: 已过时。
getEnvironmentCount() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
getEnvironmentCount() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
getEnvironmentCount() - 接口中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1) map<string, string> environment = 6;
getEnvironmentMap() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1) map<string, string> environment = 6;
getEnvironmentMap() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1) map<string, string> environment = 6;
getEnvironmentMap() - 接口中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1) map<string, string> environment = 6;
getEnvironmentOrDefault(String, String) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1) map<string, string> environment = 6;
getEnvironmentOrDefault(String, String) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1) map<string, string> environment = 6;
getEnvironmentOrDefault(String, String) - 接口中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1) map<string, string> environment = 6;
getEnvironmentOrThrow(String) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1) map<string, string> environment = 6;
getEnvironmentOrThrow(String) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1) map<string, string> environment = 6;
getEnvironmentOrThrow(String) - 接口中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1) map<string, string> environment = 6;
getErrorCode() - 类中的方法tensorflow.serving.Status.StatusProto.Builder: Error code.
getErrorCode() - 类中的方法tensorflow.serving.Status.StatusProto: Error code.
getErrorCode() - 接口中的方法tensorflow.serving.Status.StatusProtoOrBuilder: Error code.
getErrorCodeValue() - 类中的方法tensorflow.serving.Status.StatusProto.Builder: Error code.
getErrorCodeValue() - 类中的方法tensorflow.serving.Status.StatusProto: Error code.
getErrorCodeValue() - 接口中的方法tensorflow.serving.Status.StatusProtoOrBuilder: Error code.
getErrorMessage() - 类中的方法tensorflow.serving.Status.StatusProto.Builder: Error message.
getErrorMessage() - 类中的方法tensorflow.serving.Status.StatusProto: Error message.
getErrorMessage() - 接口中的方法tensorflow.serving.Status.StatusProtoOrBuilder: Error message.
getErrorMessageBytes() - 类中的方法tensorflow.serving.Status.StatusProto.Builder: Error message.
getErrorMessageBytes() - 类中的方法tensorflow.serving.Status.StatusProto: Error message.
getErrorMessageBytes() - 接口中的方法tensorflow.serving.Status.StatusProtoOrBuilder: Error message.
getExampleList() - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder: .tensorflow.serving.ExampleList example_list = 1 [lazy = true];
getExampleList() - 类中的方法tensorflow.serving.InputOuterClass.Input: .tensorflow.serving.ExampleList example_list = 1 [lazy = true];
getExampleList() - 接口中的方法tensorflow.serving.InputOuterClass.InputOrBuilder: .tensorflow.serving.ExampleList example_list = 1 [lazy = true];
getExampleList() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder: .tensorflow.serving.internal.SerializedExampleList example_list = 1;
getExampleList() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput: .tensorflow.serving.internal.SerializedExampleList example_list = 1;
getExampleList() - 接口中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInputOrBuilder: .tensorflow.serving.internal.SerializedExampleList example_list = 1;
getExampleListBuilder() - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder: .tensorflow.serving.ExampleList example_list = 1 [lazy = true];
getExampleListBuilder() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder: .tensorflow.serving.internal.SerializedExampleList example_list = 1;
getExampleListOrBuilder() - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder: .tensorflow.serving.ExampleList example_list = 1 [lazy = true];
getExampleListOrBuilder() - 类中的方法tensorflow.serving.InputOuterClass.Input: .tensorflow.serving.ExampleList example_list = 1 [lazy = true];
getExampleListOrBuilder() - 接口中的方法tensorflow.serving.InputOuterClass.InputOrBuilder: .tensorflow.serving.ExampleList example_list = 1 [lazy = true];
getExampleListOrBuilder() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder: .tensorflow.serving.internal.SerializedExampleList example_list = 1;
getExampleListOrBuilder() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput: .tensorflow.serving.internal.SerializedExampleList example_list = 1;
getExampleListOrBuilder() - 接口中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInputOrBuilder: .tensorflow.serving.internal.SerializedExampleList example_list = 1;
getExampleListWithContext() - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder: .tensorflow.serving.ExampleListWithContext example_list_with_context = 2 [lazy = true];
getExampleListWithContext() - 类中的方法tensorflow.serving.InputOuterClass.Input: .tensorflow.serving.ExampleListWithContext example_list_with_context = 2 [lazy = true];
getExampleListWithContext() - 接口中的方法tensorflow.serving.InputOuterClass.InputOrBuilder: .tensorflow.serving.ExampleListWithContext example_list_with_context = 2 [lazy = true];
getExampleListWithContext() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder: .tensorflow.serving.internal.SerializedExampleListWithContext example_list_with_context = 2;
getExampleListWithContext() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput: .tensorflow.serving.internal.SerializedExampleListWithContext example_list_with_context = 2;
getExampleListWithContext() - 接口中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInputOrBuilder: .tensorflow.serving.internal.SerializedExampleListWithContext example_list_with_context = 2;
getExampleListWithContextBuilder() - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder: .tensorflow.serving.ExampleListWithContext example_list_with_context = 2 [lazy = true];
getExampleListWithContextBuilder() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder: .tensorflow.serving.internal.SerializedExampleListWithContext example_list_with_context = 2;
getExampleListWithContextOrBuilder() - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder: .tensorflow.serving.ExampleListWithContext example_list_with_context = 2 [lazy = true];
getExampleListWithContextOrBuilder() - 类中的方法tensorflow.serving.InputOuterClass.Input: .tensorflow.serving.ExampleListWithContext example_list_with_context = 2 [lazy = true];
getExampleListWithContextOrBuilder() - 接口中的方法tensorflow.serving.InputOuterClass.InputOrBuilder: .tensorflow.serving.ExampleListWithContext example_list_with_context = 2 [lazy = true];
getExampleListWithContextOrBuilder() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder: .tensorflow.serving.internal.SerializedExampleListWithContext example_list_with_context = 2;
getExampleListWithContextOrBuilder() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput: .tensorflow.serving.internal.SerializedExampleListWithContext example_list_with_context = 2;
getExampleListWithContextOrBuilder() - 接口中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInputOrBuilder: .tensorflow.serving.internal.SerializedExampleListWithContext example_list_with_context = 2;
getExamples(int) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder: repeated .tensorflow.Example examples = 1;
getExamples(int) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList: repeated .tensorflow.Example examples = 1;
getExamples(int) - 接口中的方法tensorflow.serving.InputOuterClass.ExampleListOrBuilder: repeated .tensorflow.Example examples = 1;
getExamples(int) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: repeated .tensorflow.Example examples = 1;
getExamples(int) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext: repeated .tensorflow.Example examples = 1;
getExamples(int) - 接口中的方法tensorflow.serving.InputOuterClass.ExampleListWithContextOrBuilder: repeated .tensorflow.Example examples = 1;
getExamples(int) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder: repeated bytes examples = 1;
getExamples(int) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList: repeated bytes examples = 1;
getExamples(int) - 接口中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListOrBuilder: repeated bytes examples = 1;
getExamples(int) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder: repeated bytes examples = 1;
getExamples(int) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext: repeated bytes examples = 1;
getExamples(int) - 接口中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContextOrBuilder: repeated bytes examples = 1;
getExamplesBuilder(int) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder: repeated .tensorflow.Example examples = 1;
getExamplesBuilder(int) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: repeated .tensorflow.Example examples = 1;
getExamplesBuilderList() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder: repeated .tensorflow.Example examples = 1;
getExamplesBuilderList() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: repeated .tensorflow.Example examples = 1;
getExamplesCount() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder: repeated .tensorflow.Example examples = 1;
getExamplesCount() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList: repeated .tensorflow.Example examples = 1;
getExamplesCount() - 接口中的方法tensorflow.serving.InputOuterClass.ExampleListOrBuilder: repeated .tensorflow.Example examples = 1;
getExamplesCount() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: repeated .tensorflow.Example examples = 1;
getExamplesCount() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext: repeated .tensorflow.Example examples = 1;
getExamplesCount() - 接口中的方法tensorflow.serving.InputOuterClass.ExampleListWithContextOrBuilder: repeated .tensorflow.Example examples = 1;
getExamplesCount() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder: repeated bytes examples = 1;
getExamplesCount() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList: repeated bytes examples = 1;
getExamplesCount() - 接口中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListOrBuilder: repeated bytes examples = 1;
getExamplesCount() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder: repeated bytes examples = 1;
getExamplesCount() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext: repeated bytes examples = 1;
getExamplesCount() - 接口中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContextOrBuilder: repeated bytes examples = 1;
getExamplesList() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder: repeated .tensorflow.Example examples = 1;
getExamplesList() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList: repeated .tensorflow.Example examples = 1;
getExamplesList() - 接口中的方法tensorflow.serving.InputOuterClass.ExampleListOrBuilder: repeated .tensorflow.Example examples = 1;
getExamplesList() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: repeated .tensorflow.Example examples = 1;
getExamplesList() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext: repeated .tensorflow.Example examples = 1;
getExamplesList() - 接口中的方法tensorflow.serving.InputOuterClass.ExampleListWithContextOrBuilder: repeated .tensorflow.Example examples = 1;
getExamplesList() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder: repeated bytes examples = 1;
getExamplesList() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList: repeated bytes examples = 1;
getExamplesList() - 接口中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListOrBuilder: repeated bytes examples = 1;
getExamplesList() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder: repeated bytes examples = 1;
getExamplesList() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext: repeated bytes examples = 1;
getExamplesList() - 接口中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContextOrBuilder: repeated bytes examples = 1;
getExamplesOrBuilder(int) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder: repeated .tensorflow.Example examples = 1;
getExamplesOrBuilder(int) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList: repeated .tensorflow.Example examples = 1;
getExamplesOrBuilder(int) - 接口中的方法tensorflow.serving.InputOuterClass.ExampleListOrBuilder: repeated .tensorflow.Example examples = 1;
getExamplesOrBuilder(int) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: repeated .tensorflow.Example examples = 1;
getExamplesOrBuilder(int) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext: repeated .tensorflow.Example examples = 1;
getExamplesOrBuilder(int) - 接口中的方法tensorflow.serving.InputOuterClass.ExampleListWithContextOrBuilder: repeated .tensorflow.Example examples = 1;
getExamplesOrBuilderList() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder: repeated .tensorflow.Example examples = 1;
getExamplesOrBuilderList() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList: repeated .tensorflow.Example examples = 1;
getExamplesOrBuilderList() - 接口中的方法tensorflow.serving.InputOuterClass.ExampleListOrBuilder: repeated .tensorflow.Example examples = 1;
getExamplesOrBuilderList() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: repeated .tensorflow.Example examples = 1;
getExamplesOrBuilderList() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext: repeated .tensorflow.Example examples = 1;
getExamplesOrBuilderList() - 接口中的方法tensorflow.serving.InputOuterClass.ExampleListWithContextOrBuilder: repeated .tensorflow.Example examples = 1;
getExclusiveResourceAccess() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder: Whether this operation requires exclusive access to its resources, (i.e., no other CriticalSections may request the same resources).
getExclusiveResourceAccess() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef: Whether this operation requires exclusive access to its resources, (i.e., no other CriticalSections may request the same resources).
getExclusiveResourceAccess() - 接口中的方法org.tensorflow.framework.CriticalSectionExecutionDefOrBuilder: Whether this operation requires exclusive access to its resources, (i.e., no other CriticalSections may request the same resources).
getExecOpts() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Options for this step.
getExecOpts() - 类中的方法org.tensorflow.distruntime.RunGraphRequest: Options for this step.
getExecOpts() - 接口中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder: Options for this step.
getExecOptsBuilder() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Options for this step.
getExecOptsOrBuilder() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Options for this step.
getExecOptsOrBuilder() - 类中的方法org.tensorflow.distruntime.RunGraphRequest: Options for this step.
getExecOptsOrBuilder() - 接口中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder: Options for this step.
getExecuteInCriticalSectionName() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder: Name of the critical section handle.
getExecuteInCriticalSectionName() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef: Name of the critical section handle.
getExecuteInCriticalSectionName() - 接口中的方法org.tensorflow.framework.CriticalSectionExecutionDefOrBuilder: Name of the critical section handle.
getExecuteInCriticalSectionNameBytes() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder: Name of the critical section handle.
getExecuteInCriticalSectionNameBytes() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef: Name of the critical section handle.
getExecuteInCriticalSectionNameBytes() - 接口中的方法org.tensorflow.framework.CriticalSectionExecutionDefOrBuilder: Name of the critical section handle.
getExecutorName() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Executor's name string executor_name = 4;
getExecutorName() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Executor's name string executor_name = 4;
getExecutorName() - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Executor's name string executor_name = 4;
getExecutorNameBytes() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Executor's name string executor_name = 4;
getExecutorNameBytes() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Executor's name string executor_name = 4;
getExecutorNameBytes() - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Executor's name string executor_name = 4;
getExecutorType() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT" string executor_type = 3;
getExecutorType() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT" string executor_type = 3;
getExecutorType() - 接口中的方法org.tensorflow.framework.ConfigProto.ExperimentalOrBuilder: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT" string executor_type = 3;
getExecutorTypeBytes() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT" string executor_type = 3;
getExecutorTypeBytes() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT" string executor_type = 3;
getExecutorTypeBytes() - 接口中的方法org.tensorflow.framework.ConfigProto.ExperimentalOrBuilder: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT" string executor_type = 3;
getExperimental() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
getExperimental() - 类中的方法org.tensorflow.framework.ConfigProto: .tensorflow.ConfigProto.Experimental experimental = 16;
getExperimental() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: .tensorflow.ConfigProto.Experimental experimental = 16;
getExperimental() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
getExperimental() - 类中的方法org.tensorflow.framework.GPUOptions: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
getExperimental() - 接口中的方法org.tensorflow.framework.GPUOptionsOrBuilder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
getExperimental() - 类中的方法org.tensorflow.framework.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
getExperimental() - 类中的方法org.tensorflow.framework.RunOptions: .tensorflow.RunOptions.Experimental experimental = 8;
getExperimental() - 接口中的方法org.tensorflow.framework.RunOptionsOrBuilder: .tensorflow.RunOptions.Experimental experimental = 8;
getExperimentalBuilder() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
getExperimentalBuilder() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
getExperimentalBuilder() - 类中的方法org.tensorflow.framework.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
getExperimentalOrBuilder() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
getExperimentalOrBuilder() - 类中的方法org.tensorflow.framework.ConfigProto: .tensorflow.ConfigProto.Experimental experimental = 16;
getExperimentalOrBuilder() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: .tensorflow.ConfigProto.Experimental experimental = 16;
getExperimentalOrBuilder() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
getExperimentalOrBuilder() - 类中的方法org.tensorflow.framework.GPUOptions: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
getExperimentalOrBuilder() - 接口中的方法org.tensorflow.framework.GPUOptionsOrBuilder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
getExperimentalOrBuilder() - 类中的方法org.tensorflow.framework.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
getExperimentalOrBuilder() - 类中的方法org.tensorflow.framework.RunOptions: .tensorflow.RunOptions.Experimental experimental = 8;
getExperimentalOrBuilder() - 接口中的方法org.tensorflow.framework.RunOptionsOrBuilder: .tensorflow.RunOptions.Experimental experimental = 8;
getExplanation() - 类中的方法org.tensorflow.framework.OpDeprecation.Builder: Explanation of why it was deprecated and what to use instead.
getExplanation() - 类中的方法org.tensorflow.framework.OpDeprecation: Explanation of why it was deprecated and what to use instead.
getExplanation() - 接口中的方法org.tensorflow.framework.OpDeprecationOrBuilder: Explanation of why it was deprecated and what to use instead.
getExplanationBytes() - 类中的方法org.tensorflow.framework.OpDeprecation.Builder: Explanation of why it was deprecated and what to use instead.
getExplanationBytes() - 类中的方法org.tensorflow.framework.OpDeprecation: Explanation of why it was deprecated and what to use instead.
getExplanationBytes() - 接口中的方法org.tensorflow.framework.OpDeprecationOrBuilder: Explanation of why it was deprecated and what to use instead.
getExtendSessionMethod() - 类中的静态方法org.tensorflow.distruntime.MasterServiceGrpc
getExtent(int) - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
getExtent(int) - 类中的方法org.tensorflow.framework.TensorSliceProto: Extent of the slice in all tensor dimensions.
getExtent(int) - 接口中的方法org.tensorflow.framework.TensorSliceProtoOrBuilder: Extent of the slice in all tensor dimensions.
getExtentBuilder(int) - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
getExtentBuilderList() - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
getExtentCount() - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
getExtentCount() - 类中的方法org.tensorflow.framework.TensorSliceProto: Extent of the slice in all tensor dimensions.
getExtentCount() - 接口中的方法org.tensorflow.framework.TensorSliceProtoOrBuilder: Extent of the slice in all tensor dimensions.
getExtentList() - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
getExtentList() - 类中的方法org.tensorflow.framework.TensorSliceProto: Extent of the slice in all tensor dimensions.
getExtentList() - 接口中的方法org.tensorflow.framework.TensorSliceProtoOrBuilder: Extent of the slice in all tensor dimensions.
getExtentOrBuilder(int) - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
getExtentOrBuilder(int) - 类中的方法org.tensorflow.framework.TensorSliceProto: Extent of the slice in all tensor dimensions.
getExtentOrBuilder(int) - 接口中的方法org.tensorflow.framework.TensorSliceProtoOrBuilder: Extent of the slice in all tensor dimensions.
getExtentOrBuilderList() - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
getExtentOrBuilderList() - 类中的方法org.tensorflow.framework.TensorSliceProto: Extent of the slice in all tensor dimensions.
getExtentOrBuilderList() - 接口中的方法org.tensorflow.framework.TensorSliceProtoOrBuilder: Extent of the slice in all tensor dimensions.
getExternalValues() - 类中的方法org.tensorflow.framework.ValuesDef.Builder: 已过时。
getExternalValues() - 类中的方法org.tensorflow.framework.ValuesDef: 已过时。
getExternalValues() - 接口中的方法org.tensorflow.framework.ValuesDefOrBuilder: 已过时。
getExternalValuesCount() - 类中的方法org.tensorflow.framework.ValuesDef.Builder
getExternalValuesCount() - 类中的方法org.tensorflow.framework.ValuesDef
getExternalValuesCount() - 接口中的方法org.tensorflow.framework.ValuesDefOrBuilder: Value names referenced by but external to this context.
getExternalValuesMap() - 类中的方法org.tensorflow.framework.ValuesDef.Builder: Value names referenced by but external to this context.
getExternalValuesMap() - 类中的方法org.tensorflow.framework.ValuesDef: Value names referenced by but external to this context.
getExternalValuesMap() - 接口中的方法org.tensorflow.framework.ValuesDefOrBuilder: Value names referenced by but external to this context.
getExternalValuesOrDefault(String, String) - 类中的方法org.tensorflow.framework.ValuesDef.Builder: Value names referenced by but external to this context.
getExternalValuesOrDefault(String, String) - 类中的方法org.tensorflow.framework.ValuesDef: Value names referenced by but external to this context.
getExternalValuesOrDefault(String, String) - 接口中的方法org.tensorflow.framework.ValuesDefOrBuilder: Value names referenced by but external to this context.
getExternalValuesOrThrow(String) - 类中的方法org.tensorflow.framework.ValuesDef.Builder: Value names referenced by but external to this context.
getExternalValuesOrThrow(String) - 类中的方法org.tensorflow.framework.ValuesDef: Value names referenced by but external to this context.
getExternalValuesOrThrow(String) - 接口中的方法org.tensorflow.framework.ValuesDefOrBuilder: Value names referenced by but external to this context.
getF() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "float" float f = 4;
getF() - 类中的方法org.tensorflow.framework.AttrValue: "float" float f = 4;
getF(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(float)" repeated float f = 4 [packed = true];
getF(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(float)" repeated float f = 4 [packed = true];
getF(int) - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(float)" repeated float f = 4 [packed = true];
getF() - 接口中的方法org.tensorflow.framework.AttrValueOrBuilder: "float" float f = 4;
getFailIfZeroVersionsAtStartup() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: If true, then FileSystemStoragePathSource::Create() and ::UpdateConfig() fail if, for any configured servables, the file system doesn't currently contain at least one version under the base path.
getFailIfZeroVersionsAtStartup() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig: If true, then FileSystemStoragePathSource::Create() and ::UpdateConfig() fail if, for any configured servables, the file system doesn't currently contain at least one version under the base path.
getFailIfZeroVersionsAtStartup() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder: If true, then FileSystemStoragePathSource::Create() and ::UpdateConfig() fail if, for any configured servables, the file system doesn't currently contain at least one version under the base path.
getFCount() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(float)" repeated float f = 4 [packed = true];
getFCount() - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(float)" repeated float f = 4 [packed = true];
getFCount() - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(float)" repeated float f = 4 [packed = true];
getFeature(int) - 类中的方法org.tensorflow.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
getFeature(int) - 类中的方法org.tensorflow.example.FeatureList: repeated .tensorflow.Feature feature = 1;
getFeature(int) - 接口中的方法org.tensorflow.example.FeatureListOrBuilder: repeated .tensorflow.Feature feature = 1;
getFeature() - 类中的方法org.tensorflow.example.Features.Builder: 已过时。
getFeature() - 类中的方法org.tensorflow.example.Features: 已过时。
getFeature() - 接口中的方法org.tensorflow.example.FeaturesOrBuilder: 已过时。
getFeatureBuilder(int) - 类中的方法org.tensorflow.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
getFeatureBuilderList() - 类中的方法org.tensorflow.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
getFeatureCount() - 类中的方法org.tensorflow.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
getFeatureCount() - 类中的方法org.tensorflow.example.FeatureList: repeated .tensorflow.Feature feature = 1;
getFeatureCount() - 接口中的方法org.tensorflow.example.FeatureListOrBuilder: repeated .tensorflow.Feature feature = 1;
getFeatureCount() - 类中的方法org.tensorflow.example.Features.Builder
getFeatureCount() - 类中的方法org.tensorflow.example.Features
getFeatureCount() - 接口中的方法org.tensorflow.example.FeaturesOrBuilder: Map from feature name to feature.
getFeatureList() - 类中的方法org.tensorflow.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
getFeatureList() - 类中的方法org.tensorflow.example.FeatureList: repeated .tensorflow.Feature feature = 1;
getFeatureList() - 接口中的方法org.tensorflow.example.FeatureListOrBuilder: repeated .tensorflow.Feature feature = 1;
getFeatureList() - 类中的方法org.tensorflow.example.FeatureLists.Builder: 已过时。
getFeatureList() - 类中的方法org.tensorflow.example.FeatureLists: 已过时。
getFeatureList() - 接口中的方法org.tensorflow.example.FeatureListsOrBuilder: 已过时。
getFeatureListCount() - 类中的方法org.tensorflow.example.FeatureLists.Builder
getFeatureListCount() - 类中的方法org.tensorflow.example.FeatureLists
getFeatureListCount() - 接口中的方法org.tensorflow.example.FeatureListsOrBuilder: Map from feature name to feature list.
getFeatureListMap() - 类中的方法org.tensorflow.example.FeatureLists.Builder: Map from feature name to feature list.
getFeatureListMap() - 类中的方法org.tensorflow.example.FeatureLists: Map from feature name to feature list.
getFeatureListMap() - 接口中的方法org.tensorflow.example.FeatureListsOrBuilder: Map from feature name to feature list.
getFeatureListOrDefault(String, FeatureList) - 类中的方法org.tensorflow.example.FeatureLists.Builder: Map from feature name to feature list.
getFeatureListOrDefault(String, FeatureList) - 类中的方法org.tensorflow.example.FeatureLists: Map from feature name to feature list.
getFeatureListOrDefault(String, FeatureList) - 接口中的方法org.tensorflow.example.FeatureListsOrBuilder: Map from feature name to feature list.
getFeatureListOrThrow(String) - 类中的方法org.tensorflow.example.FeatureLists.Builder: Map from feature name to feature list.
getFeatureListOrThrow(String) - 类中的方法org.tensorflow.example.FeatureLists: Map from feature name to feature list.
getFeatureListOrThrow(String) - 接口中的方法org.tensorflow.example.FeatureListsOrBuilder: Map from feature name to feature list.
getFeatureLists() - 类中的方法org.tensorflow.example.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
getFeatureLists() - 类中的方法org.tensorflow.example.SequenceExample: .tensorflow.FeatureLists feature_lists = 2;
getFeatureLists() - 接口中的方法org.tensorflow.example.SequenceExampleOrBuilder: .tensorflow.FeatureLists feature_lists = 2;
getFeatureListsBuilder() - 类中的方法org.tensorflow.example.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
getFeatureListsOrBuilder() - 类中的方法org.tensorflow.example.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
getFeatureListsOrBuilder() - 类中的方法org.tensorflow.example.SequenceExample: .tensorflow.FeatureLists feature_lists = 2;
getFeatureListsOrBuilder() - 接口中的方法org.tensorflow.example.SequenceExampleOrBuilder: .tensorflow.FeatureLists feature_lists = 2;
getFeatureMap() - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder: 已过时。
getFeatureMap() - 类中的方法org.tensorflow.example.ExampleParserConfiguration: 已过时。
getFeatureMap() - 接口中的方法org.tensorflow.example.ExampleParserConfigurationOrBuilder: 已过时。
getFeatureMap() - 类中的方法org.tensorflow.example.Features.Builder: Map from feature name to feature.
getFeatureMap() - 类中的方法org.tensorflow.example.Features: Map from feature name to feature.
getFeatureMap() - 接口中的方法org.tensorflow.example.FeaturesOrBuilder: Map from feature name to feature.
getFeatureMapCount() - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
getFeatureMapCount() - 类中的方法org.tensorflow.example.ExampleParserConfiguration
getFeatureMapCount() - 接口中的方法org.tensorflow.example.ExampleParserConfigurationOrBuilder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapMap() - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapMap() - 类中的方法org.tensorflow.example.ExampleParserConfiguration: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapMap() - 接口中的方法org.tensorflow.example.ExampleParserConfigurationOrBuilder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapOrDefault(String, FeatureConfiguration) - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapOrDefault(String, FeatureConfiguration) - 类中的方法org.tensorflow.example.ExampleParserConfiguration: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapOrDefault(String, FeatureConfiguration) - 接口中的方法org.tensorflow.example.ExampleParserConfigurationOrBuilder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapOrThrow(String) - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapOrThrow(String) - 类中的方法org.tensorflow.example.ExampleParserConfiguration: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapOrThrow(String) - 接口中的方法org.tensorflow.example.ExampleParserConfigurationOrBuilder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureOrBuilder(int) - 类中的方法org.tensorflow.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
getFeatureOrBuilder(int) - 类中的方法org.tensorflow.example.FeatureList: repeated .tensorflow.Feature feature = 1;
getFeatureOrBuilder(int) - 接口中的方法org.tensorflow.example.FeatureListOrBuilder: repeated .tensorflow.Feature feature = 1;
getFeatureOrBuilderList() - 类中的方法org.tensorflow.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
getFeatureOrBuilderList() - 类中的方法org.tensorflow.example.FeatureList: repeated .tensorflow.Feature feature = 1;
getFeatureOrBuilderList() - 接口中的方法org.tensorflow.example.FeatureListOrBuilder: repeated .tensorflow.Feature feature = 1;
getFeatureOrDefault(String, Feature) - 类中的方法org.tensorflow.example.Features.Builder: Map from feature name to feature.
getFeatureOrDefault(String, Feature) - 类中的方法org.tensorflow.example.Features: Map from feature name to feature.
getFeatureOrDefault(String, Feature) - 接口中的方法org.tensorflow.example.FeaturesOrBuilder: Map from feature name to feature.
getFeatureOrThrow(String) - 类中的方法org.tensorflow.example.Features.Builder: Map from feature name to feature.
getFeatureOrThrow(String) - 类中的方法org.tensorflow.example.Features: Map from feature name to feature.
getFeatureOrThrow(String) - 接口中的方法org.tensorflow.example.FeaturesOrBuilder: Map from feature name to feature.
getFeatures() - 类中的方法org.tensorflow.example.Example.Builder: .tensorflow.Features features = 1;
getFeatures() - 类中的方法org.tensorflow.example.Example: .tensorflow.Features features = 1;
getFeatures() - 接口中的方法org.tensorflow.example.ExampleOrBuilder: .tensorflow.Features features = 1;
getFeaturesBuilder() - 类中的方法org.tensorflow.example.Example.Builder: .tensorflow.Features features = 1;
getFeaturesOrBuilder() - 类中的方法org.tensorflow.example.Example.Builder: .tensorflow.Features features = 1;
getFeaturesOrBuilder() - 类中的方法org.tensorflow.example.Example: .tensorflow.Features features = 1;
getFeaturesOrBuilder() - 接口中的方法org.tensorflow.example.ExampleOrBuilder: .tensorflow.Features features = 1;
getFeed(int) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Tensors to be fed in future steps.
getFeed(int) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest: Tensors to be fed in future steps.
getFeed(int) - 接口中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder: Tensors to be fed in future steps.
getFeed(int) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
getFeed(int) - 类中的方法org.tensorflow.distruntime.RunCallableRequest: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
getFeed(int) - 接口中的方法org.tensorflow.distruntime.RunCallableRequestOrBuilder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
getFeed(int) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Tensors to be fed in the step.
getFeed(int) - 类中的方法org.tensorflow.distruntime.RunStepRequest: Tensors to be fed in the step.
getFeed(int) - 接口中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder: Tensors to be fed in the step.
getFeed(int) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be fed in the callable.
getFeed(int) - 类中的方法org.tensorflow.framework.CallableOptions: Tensors to be fed in the callable.
getFeed(int) - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: Tensors to be fed in the callable.
getFeed(int) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Tensors to be fed in the step.
getFeed(int) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest: Tensors to be fed in the step.
getFeed(int) - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder: Tensors to be fed in the step.
getFeedBuilder(int) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
getFeedBuilder(int) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Tensors to be fed in the step.
getFeedBuilder(int) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Tensors to be fed in the step.
getFeedBuilderList() - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
getFeedBuilderList() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Tensors to be fed in the step.
getFeedBuilderList() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Tensors to be fed in the step.
getFeedBytes(int) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Tensors to be fed in future steps.
getFeedBytes(int) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest: Tensors to be fed in future steps.
getFeedBytes(int) - 接口中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder: Tensors to be fed in future steps.
getFeedBytes(int) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be fed in the callable.
getFeedBytes(int) - 类中的方法org.tensorflow.framework.CallableOptions: Tensors to be fed in the callable.
getFeedBytes(int) - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: Tensors to be fed in the callable.
getFeedCount() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Tensors to be fed in future steps.
getFeedCount() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest: Tensors to be fed in future steps.
getFeedCount() - 接口中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder: Tensors to be fed in future steps.
getFeedCount() - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
getFeedCount() - 类中的方法org.tensorflow.distruntime.RunCallableRequest: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
getFeedCount() - 接口中的方法org.tensorflow.distruntime.RunCallableRequestOrBuilder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
getFeedCount() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Tensors to be fed in the step.
getFeedCount() - 类中的方法org.tensorflow.distruntime.RunStepRequest: Tensors to be fed in the step.
getFeedCount() - 接口中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder: Tensors to be fed in the step.
getFeedCount() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be fed in the callable.
getFeedCount() - 类中的方法org.tensorflow.framework.CallableOptions: Tensors to be fed in the callable.
getFeedCount() - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: Tensors to be fed in the callable.
getFeedCount() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Tensors to be fed in the step.
getFeedCount() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest: Tensors to be fed in the step.
getFeedCount() - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder: Tensors to be fed in the step.
getFeedDevices() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: 已过时。
getFeedDevices() - 类中的方法org.tensorflow.framework.CallableOptions: 已过时。
getFeedDevices() - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: 已过时。
getFeedDevicesCount() - 类中的方法org.tensorflow.framework.CallableOptions.Builder
getFeedDevicesCount() - 类中的方法org.tensorflow.framework.CallableOptions
getFeedDevicesCount() - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesMap() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesMap() - 类中的方法org.tensorflow.framework.CallableOptions: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesMap() - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesOrDefault(String, String) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesOrDefault(String, String) - 类中的方法org.tensorflow.framework.CallableOptions: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesOrDefault(String, String) - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesOrThrow(String) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesOrThrow(String) - 类中的方法org.tensorflow.framework.CallableOptions: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesOrThrow(String) - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedList() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Tensors to be fed in future steps.
getFeedList() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest: Tensors to be fed in future steps.
getFeedList() - 接口中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder: Tensors to be fed in future steps.
getFeedList() - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
getFeedList() - 类中的方法org.tensorflow.distruntime.RunCallableRequest: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
getFeedList() - 接口中的方法org.tensorflow.distruntime.RunCallableRequestOrBuilder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
getFeedList() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Tensors to be fed in the step.
getFeedList() - 类中的方法org.tensorflow.distruntime.RunStepRequest: Tensors to be fed in the step.
getFeedList() - 接口中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder: Tensors to be fed in the step.
getFeedList() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be fed in the callable.
getFeedList() - 类中的方法org.tensorflow.framework.CallableOptions: Tensors to be fed in the callable.
getFeedList() - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: Tensors to be fed in the callable.
getFeedList() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Tensors to be fed in the step.
getFeedList() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest: Tensors to be fed in the step.
getFeedList() - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder: Tensors to be fed in the step.
getFeedOrBuilder(int) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
getFeedOrBuilder(int) - 类中的方法org.tensorflow.distruntime.RunCallableRequest: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
getFeedOrBuilder(int) - 接口中的方法org.tensorflow.distruntime.RunCallableRequestOrBuilder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
getFeedOrBuilder(int) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Tensors to be fed in the step.
getFeedOrBuilder(int) - 类中的方法org.tensorflow.distruntime.RunStepRequest: Tensors to be fed in the step.
getFeedOrBuilder(int) - 接口中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder: Tensors to be fed in the step.
getFeedOrBuilder(int) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Tensors to be fed in the step.
getFeedOrBuilder(int) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest: Tensors to be fed in the step.
getFeedOrBuilder(int) - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder: Tensors to be fed in the step.
getFeedOrBuilderList() - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
getFeedOrBuilderList() - 类中的方法org.tensorflow.distruntime.RunCallableRequest: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
getFeedOrBuilderList() - 接口中的方法org.tensorflow.distruntime.RunCallableRequestOrBuilder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
getFeedOrBuilderList() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Tensors to be fed in the step.
getFeedOrBuilderList() - 类中的方法org.tensorflow.distruntime.RunStepRequest: Tensors to be fed in the step.
getFeedOrBuilderList() - 接口中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder: Tensors to be fed in the step.
getFeedOrBuilderList() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Tensors to be fed in the step.
getFeedOrBuilderList() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest: Tensors to be fed in the step.
getFeedOrBuilderList() - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder: Tensors to be fed in the step.
getFetch(int) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Fetches.
getFetch(int) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest: Fetches.
getFetch(int) - 接口中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder: Fetches.
getFetch(int) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
getFetch(int) - 类中的方法org.tensorflow.distruntime.RunCallableResponse: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
getFetch(int) - 接口中的方法org.tensorflow.distruntime.RunCallableResponseOrBuilder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
getFetch(int) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Fetches.
getFetch(int) - 类中的方法org.tensorflow.distruntime.RunStepRequest: Fetches.
getFetch(int) - 接口中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder: Fetches.
getFetch(int) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Fetches.
getFetch(int) - 类中的方法org.tensorflow.framework.CallableOptions: Fetches.
getFetch(int) - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: Fetches.
getFetch(int) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Fetches.
getFetch(int) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest: Fetches.
getFetch(int) - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder: Fetches.
getFetchBuilder(int) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
getFetchBuilderList() - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
getFetchBytes(int) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Fetches.
getFetchBytes(int) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest: Fetches.
getFetchBytes(int) - 接口中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder: Fetches.
getFetchBytes(int) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Fetches.
getFetchBytes(int) - 类中的方法org.tensorflow.distruntime.RunStepRequest: Fetches.
getFetchBytes(int) - 接口中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder: Fetches.
getFetchBytes(int) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Fetches.
getFetchBytes(int) - 类中的方法org.tensorflow.framework.CallableOptions: Fetches.
getFetchBytes(int) - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: Fetches.
getFetchBytes(int) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Fetches.
getFetchBytes(int) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest: Fetches.
getFetchBytes(int) - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder: Fetches.
getFetchCount() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Fetches.
getFetchCount() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest: Fetches.
getFetchCount() - 接口中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder: Fetches.
getFetchCount() - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
getFetchCount() - 类中的方法org.tensorflow.distruntime.RunCallableResponse: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
getFetchCount() - 接口中的方法org.tensorflow.distruntime.RunCallableResponseOrBuilder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
getFetchCount() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Fetches.
getFetchCount() - 类中的方法org.tensorflow.distruntime.RunStepRequest: Fetches.
getFetchCount() - 接口中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder: Fetches.
getFetchCount() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Fetches.
getFetchCount() - 类中的方法org.tensorflow.framework.CallableOptions: Fetches.
getFetchCount() - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: Fetches.
getFetchCount() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Fetches.
getFetchCount() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest: Fetches.
getFetchCount() - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder: Fetches.
getFetchDevices() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: 已过时。
getFetchDevices() - 类中的方法org.tensorflow.framework.CallableOptions: 已过时。
getFetchDevices() - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: 已过时。
getFetchDevicesCount() - 类中的方法org.tensorflow.framework.CallableOptions.Builder
getFetchDevicesCount() - 类中的方法org.tensorflow.framework.CallableOptions
getFetchDevicesCount() - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: map<string, string> fetch_devices = 7;
getFetchDevicesMap() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: map<string, string> fetch_devices = 7;
getFetchDevicesMap() - 类中的方法org.tensorflow.framework.CallableOptions: map<string, string> fetch_devices = 7;
getFetchDevicesMap() - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: map<string, string> fetch_devices = 7;
getFetchDevicesOrDefault(String, String) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: map<string, string> fetch_devices = 7;
getFetchDevicesOrDefault(String, String) - 类中的方法org.tensorflow.framework.CallableOptions: map<string, string> fetch_devices = 7;
getFetchDevicesOrDefault(String, String) - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: map<string, string> fetch_devices = 7;
getFetchDevicesOrThrow(String) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: map<string, string> fetch_devices = 7;
getFetchDevicesOrThrow(String) - 类中的方法org.tensorflow.framework.CallableOptions: map<string, string> fetch_devices = 7;
getFetchDevicesOrThrow(String) - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: map<string, string> fetch_devices = 7;
getFetchList() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Fetches.
getFetchList() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest: Fetches.
getFetchList() - 接口中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder: Fetches.
getFetchList() - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
getFetchList() - 类中的方法org.tensorflow.distruntime.RunCallableResponse: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
getFetchList() - 接口中的方法org.tensorflow.distruntime.RunCallableResponseOrBuilder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
getFetchList() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Fetches.
getFetchList() - 类中的方法org.tensorflow.distruntime.RunStepRequest: Fetches.
getFetchList() - 接口中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder: Fetches.
getFetchList() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Fetches.
getFetchList() - 类中的方法org.tensorflow.framework.CallableOptions: Fetches.
getFetchList() - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: Fetches.
getFetchList() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Fetches.
getFetchList() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest: Fetches.
getFetchList() - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder: Fetches.
getFetchOrBuilder(int) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
getFetchOrBuilder(int) - 类中的方法org.tensorflow.distruntime.RunCallableResponse: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
getFetchOrBuilder(int) - 接口中的方法org.tensorflow.distruntime.RunCallableResponseOrBuilder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
getFetchOrBuilderList() - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
getFetchOrBuilderList() - 类中的方法org.tensorflow.distruntime.RunCallableResponse: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
getFetchOrBuilderList() - 接口中的方法org.tensorflow.distruntime.RunCallableResponseOrBuilder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
getFetchSkipSync() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: By default, RunCallable() will synchronize the GPU stream before returning fetched tensors on a GPU device, to ensure that the values in those tensors have been produced.
getFetchSkipSync() - 类中的方法org.tensorflow.framework.CallableOptions: By default, RunCallable() will synchronize the GPU stream before returning fetched tensors on a GPU device, to ensure that the values in those tensors have been produced.
getFetchSkipSync() - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: By default, RunCallable() will synchronize the GPU stream before returning fetched tensors on a GPU device, to ensure that the values in those tensors have been produced.
getFetchStepId(int) - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder: When set, requests all saved log data pertaining to the step.
getFetchStepId(int) - 类中的方法org.tensorflow.distruntime.LoggingRequest: When set, requests all saved log data pertaining to the step.
getFetchStepId(int) - 接口中的方法org.tensorflow.distruntime.LoggingRequestOrBuilder: When set, requests all saved log data pertaining to the step.
getFetchStepIdCount() - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder: When set, requests all saved log data pertaining to the step.
getFetchStepIdCount() - 类中的方法org.tensorflow.distruntime.LoggingRequest: When set, requests all saved log data pertaining to the step.
getFetchStepIdCount() - 接口中的方法org.tensorflow.distruntime.LoggingRequestOrBuilder: When set, requests all saved log data pertaining to the step.
getFetchStepIdList() - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder: When set, requests all saved log data pertaining to the step.
getFetchStepIdList() - 类中的方法org.tensorflow.distruntime.LoggingRequest: When set, requests all saved log data pertaining to the step.
getFetchStepIdList() - 接口中的方法org.tensorflow.distruntime.LoggingRequestOrBuilder: When set, requests all saved log data pertaining to the step.
getFilename() - 类中的方法org.tensorflow.framework.AssetFileDef.Builder: The filename within an assets directory.
getFilename() - 类中的方法org.tensorflow.framework.AssetFileDef: The filename within an assets directory.
getFilename() - 接口中的方法org.tensorflow.framework.AssetFileDefOrBuilder: The filename within an assets directory.
getFilenameBytes() - 类中的方法org.tensorflow.framework.AssetFileDef.Builder: The filename within an assets directory.
getFilenameBytes() - 类中的方法org.tensorflow.framework.AssetFileDef: The filename within an assets directory.
getFilenameBytes() - 接口中的方法org.tensorflow.framework.AssetFileDefOrBuilder: The filename within an assets directory.
getFilenamePrefix() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder: The prefix to use for the filenames of the logs.
getFilenamePrefix() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig: The prefix to use for the filenames of the logs.
getFilenamePrefix() - 接口中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfigOrBuilder: The prefix to use for the filenames of the logs.
getFilenamePrefixBytes() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder: The prefix to use for the filenames of the logs.
getFilenamePrefixBytes() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig: The prefix to use for the filenames of the logs.
getFilenamePrefixBytes() - 接口中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfigOrBuilder: The prefix to use for the filenames of the logs.
getFilenameTensorName() - 类中的方法org.tensorflow.util.SaverDef.Builder: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
getFilenameTensorName() - 类中的方法org.tensorflow.util.SaverDef: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
getFilenameTensorName() - 接口中的方法org.tensorflow.util.SaverDefOrBuilder: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
getFilenameTensorNameBytes() - 类中的方法org.tensorflow.util.SaverDef.Builder: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
getFilenameTensorNameBytes() - 类中的方法org.tensorflow.util.SaverDef: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
getFilenameTensorNameBytes() - 接口中的方法org.tensorflow.util.SaverDefOrBuilder: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
getFilePath() - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: Path to the source code file.
getFilePath() - 类中的方法org.tensorflow.framework.DebuggedSourceFile: Path to the source code file.
getFilePath() - 接口中的方法org.tensorflow.framework.DebuggedSourceFileOrBuilder: Path to the source code file.
getFilePathBytes() - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: Path to the source code file.
getFilePathBytes() - 类中的方法org.tensorflow.framework.DebuggedSourceFile: Path to the source code file.
getFilePathBytes() - 接口中的方法org.tensorflow.framework.DebuggedSourceFileOrBuilder: Path to the source code file.
getFileSystemPollWaitSeconds() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: How long to wait between file-system polling to look for children of 'base_path', in seconds.
getFileSystemPollWaitSeconds() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig: How long to wait between file-system polling to look for children of 'base_path', in seconds.
getFileSystemPollWaitSeconds() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder: How long to wait between file-system polling to look for children of 'base_path', in seconds.
getFixedLenFeature() - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
getFixedLenFeature() - 类中的方法org.tensorflow.example.FeatureConfiguration: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
getFixedLenFeature() - 接口中的方法org.tensorflow.example.FeatureConfigurationOrBuilder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
getFixedLenFeatureBuilder() - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
getFixedLenFeatureOrBuilder() - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
getFixedLenFeatureOrBuilder() - 类中的方法org.tensorflow.example.FeatureConfiguration: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
getFixedLenFeatureOrBuilder() - 接口中的方法org.tensorflow.example.FeatureConfigurationOrBuilder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
getFList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(float)" repeated float f = 4 [packed = true];
getFList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(float)" repeated float f = 4 [packed = true];
getFList() - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(float)" repeated float f = 4 [packed = true];
getFloatList() - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.FloatList float_list = 2;
getFloatList() - 类中的方法org.tensorflow.example.Feature: .tensorflow.FloatList float_list = 2;
getFloatList() - 接口中的方法org.tensorflow.example.FeatureOrBuilder: .tensorflow.FloatList float_list = 2;
getFloatList() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
getFloatList() - 类中的方法org.tensorflow.framework.CollectionDef: .tensorflow.CollectionDef.FloatList float_list = 4;
getFloatList() - 接口中的方法org.tensorflow.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.FloatList float_list = 4;
getFloatListBuilder() - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.FloatList float_list = 2;
getFloatListBuilder() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
getFloatListOrBuilder() - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.FloatList float_list = 2;
getFloatListOrBuilder() - 类中的方法org.tensorflow.example.Feature: .tensorflow.FloatList float_list = 2;
getFloatListOrBuilder() - 接口中的方法org.tensorflow.example.FeatureOrBuilder: .tensorflow.FloatList float_list = 2;
getFloatListOrBuilder() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
getFloatListOrBuilder() - 类中的方法org.tensorflow.framework.CollectionDef: .tensorflow.CollectionDef.FloatList float_list = 4;
getFloatListOrBuilder() - 接口中的方法org.tensorflow.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.FloatList float_list = 4;
getFloatVal(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_FLOAT.
getFloatVal(int) - 类中的方法org.tensorflow.framework.TensorProto: DT_FLOAT.
getFloatVal(int) - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_FLOAT.
getFloatValCount() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_FLOAT.
getFloatValCount() - 类中的方法org.tensorflow.framework.TensorProto: DT_FLOAT.
getFloatValCount() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_FLOAT.
getFloatValList() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_FLOAT.
getFloatValList() - 类中的方法org.tensorflow.framework.TensorProto: DT_FLOAT.
getFloatValList() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_FLOAT.
getForceGpuCompatible() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: Force all tensors to be gpu_compatible.
getForceGpuCompatible() - 类中的方法org.tensorflow.framework.GPUOptions: Force all tensors to be gpu_compatible.
getForceGpuCompatible() - 接口中的方法org.tensorflow.framework.GPUOptionsOrBuilder: Force all tensors to be gpu_compatible.
getFrequency() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Core Frequency in Mhz int64 frequency = 4;
getFrequency() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties: Core Frequency in Mhz int64 frequency = 4;
getFrequency() - 接口中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder: Core Frequency in Mhz int64 frequency = 4;
getFromTensor() - 类中的方法org.tensorflow.framework.TensorConnection.Builder: A tensor name.
getFromTensor() - 类中的方法org.tensorflow.framework.TensorConnection: A tensor name.
getFromTensor() - 接口中的方法org.tensorflow.framework.TensorConnectionOrBuilder: A tensor name.
getFromTensorBytes() - 类中的方法org.tensorflow.framework.TensorConnection.Builder: A tensor name.
getFromTensorBytes() - 类中的方法org.tensorflow.framework.TensorConnection: A tensor name.
getFromTensorBytes() - 接口中的方法org.tensorflow.framework.TensorConnectionOrBuilder: A tensor name.
getFullName() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Name of the full variable of which this is a slice.
getFullName() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef: Name of the full variable of which this is a slice.
getFullName() - 接口中的方法org.tensorflow.framework.SaveSliceInfoDefOrBuilder: Name of the full variable of which this is a slice.
getFullName() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder: The full name of the variable/tensor, if applicable.
getFullName() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor: The full name of the variable/tensor, if applicable.
getFullName() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder: The full name of the variable/tensor, if applicable.
getFullNameBytes() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Name of the full variable of which this is a slice.
getFullNameBytes() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef: Name of the full variable of which this is a slice.
getFullNameBytes() - 接口中的方法org.tensorflow.framework.SaveSliceInfoDefOrBuilder: Name of the full variable of which this is a slice.
getFullNameBytes() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder: The full name of the variable/tensor, if applicable.
getFullNameBytes() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor: The full name of the variable/tensor, if applicable.
getFullNameBytes() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder: The full name of the variable/tensor, if applicable.
getFullShape(int) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Shape of the full variable.
getFullShape(int) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef: Shape of the full variable.
getFullShape(int) - 接口中的方法org.tensorflow.framework.SaveSliceInfoDefOrBuilder: Shape of the full variable.
getFullShapeCount() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Shape of the full variable.
getFullShapeCount() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef: Shape of the full variable.
getFullShapeCount() - 接口中的方法org.tensorflow.framework.SaveSliceInfoDefOrBuilder: Shape of the full variable.
getFullShapeList() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Shape of the full variable.
getFullShapeList() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef: Shape of the full variable.
getFullShapeList() - 接口中的方法org.tensorflow.framework.SaveSliceInfoDefOrBuilder: Shape of the full variable.
getFunc() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
getFunc() - 类中的方法org.tensorflow.framework.AttrValue: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
getFunc(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
getFunc(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
getFunc(int) - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
getFunc() - 接口中的方法org.tensorflow.framework.AttrValueOrBuilder: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
getFuncBuilder() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
getFuncBuilder(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
getFuncBuilderList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
getFuncCount() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
getFuncCount() - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
getFuncCount() - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
getFuncList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
getFuncList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
getFuncList() - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
getFuncOrBuilder() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
getFuncOrBuilder() - 类中的方法org.tensorflow.framework.AttrValue: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
getFuncOrBuilder(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
getFuncOrBuilder(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
getFuncOrBuilder(int) - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
getFuncOrBuilder() - 接口中的方法org.tensorflow.framework.AttrValueOrBuilder: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
getFuncOrBuilderList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
getFuncOrBuilderList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
getFuncOrBuilderList() - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
getFunction(int) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
getFunction(int) - 类中的方法org.tensorflow.framework.FunctionDefLibrary: repeated .tensorflow.FunctionDef function = 1;
getFunction(int) - 接口中的方法org.tensorflow.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.FunctionDef function = 1;
getFunctionBuilder(int) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
getFunctionBuilderList() - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
getFunctionCount() - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
getFunctionCount() - 类中的方法org.tensorflow.framework.FunctionDefLibrary: repeated .tensorflow.FunctionDef function = 1;
getFunctionCount() - 接口中的方法org.tensorflow.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.FunctionDef function = 1;
getFunctionDef() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder: .tensorflow.FunctionDef function_def = 2;
getFunctionDef() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest: .tensorflow.FunctionDef function_def = 2;
getFunctionDef() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequestOrBuilder: .tensorflow.FunctionDef function_def = 2;
getFunctionDefBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder: .tensorflow.FunctionDef function_def = 2;
getFunctionDefOrBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder: .tensorflow.FunctionDef function_def = 2;
getFunctionDefOrBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest: .tensorflow.FunctionDef function_def = 2;
getFunctionDefOrBuilder() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequestOrBuilder: .tensorflow.FunctionDef function_def = 2;
getFunctionList() - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
getFunctionList() - 类中的方法org.tensorflow.framework.FunctionDefLibrary: repeated .tensorflow.FunctionDef function = 1;
getFunctionList() - 接口中的方法org.tensorflow.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.FunctionDef function = 1;
getFunctionName() - 类中的方法org.tensorflow.framework.GradientDef.Builder: The function name.
getFunctionName() - 类中的方法org.tensorflow.framework.GradientDef: The function name.
getFunctionName() - 接口中的方法org.tensorflow.framework.GradientDefOrBuilder: The function name.
getFunctionNameBytes() - 类中的方法org.tensorflow.framework.GradientDef.Builder: The function name.
getFunctionNameBytes() - 类中的方法org.tensorflow.framework.GradientDef: The function name.
getFunctionNameBytes() - 接口中的方法org.tensorflow.framework.GradientDefOrBuilder: The function name.
getFunctionOptimization() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Function optimizations (default is ON).
getFunctionOptimization() - 类中的方法org.tensorflow.framework.RewriterConfig: Function optimizations (default is ON).
getFunctionOptimization() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Function optimizations (default is ON).
getFunctionOptimizationValue() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Function optimizations (default is ON).
getFunctionOptimizationValue() - 类中的方法org.tensorflow.framework.RewriterConfig: Function optimizations (default is ON).
getFunctionOptimizationValue() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Function optimizations (default is ON).
getFunctionOrBuilder(int) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
getFunctionOrBuilder(int) - 类中的方法org.tensorflow.framework.FunctionDefLibrary: repeated .tensorflow.FunctionDef function = 1;
getFunctionOrBuilder(int) - 接口中的方法org.tensorflow.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.FunctionDef function = 1;
getFunctionOrBuilderList() - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
getFunctionOrBuilderList() - 类中的方法org.tensorflow.framework.FunctionDefLibrary: repeated .tensorflow.FunctionDef function = 1;
getFunctionOrBuilderList() - 接口中的方法org.tensorflow.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.FunctionDef function = 1;
getGetModelMetadataMethod() - 类中的静态方法tensorflow.serving.PredictionServiceGrpc
getGetModelStatusMethod() - 类中的静态方法tensorflow.serving.ModelServiceGrpc
getGetStatusMethod() - 类中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
getGetStepSequenceMethod() - 类中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
getGlobalJitLevel() - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
getGlobalJitLevel() - 类中的方法org.tensorflow.framework.OptimizerOptions: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
getGlobalJitLevel() - 接口中的方法org.tensorflow.framework.OptimizerOptionsOrBuilder: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
getGlobalJitLevelValue() - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
getGlobalJitLevelValue() - 类中的方法org.tensorflow.framework.OptimizerOptions: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
getGlobalJitLevelValue() - 接口中的方法org.tensorflow.framework.OptimizerOptionsOrBuilder: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
getGlobalName() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder: The global name of the threadpool.
getGlobalName() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto: The global name of the threadpool.
getGlobalName() - 接口中的方法org.tensorflow.framework.ThreadPoolOptionProtoOrBuilder: The global name of the threadpool.
getGlobalNameBytes() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder: The global name of the threadpool.
getGlobalNameBytes() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto: The global name of the threadpool.
getGlobalNameBytes() - 接口中的方法org.tensorflow.framework.ThreadPoolOptionProtoOrBuilder: The global name of the threadpool.
getGlobalStep() - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Caller-specified global step count.
getGlobalStep() - 类中的方法org.tensorflow.framework.DebugOptions: Caller-specified global step count.
getGlobalStep() - 接口中的方法org.tensorflow.framework.DebugOptionsOrBuilder: Caller-specified global step count.
getGpuOptions() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply to all GPUs.
getGpuOptions() - 类中的方法org.tensorflow.framework.ConfigProto: Options that apply to all GPUs.
getGpuOptions() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: Options that apply to all GPUs.
getGpuOptionsBuilder() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply to all GPUs.
getGpuOptionsOrBuilder() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply to all GPUs.
getGpuOptionsOrBuilder() - 类中的方法org.tensorflow.framework.ConfigProto: Options that apply to all GPUs.
getGpuOptionsOrBuilder() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: Options that apply to all GPUs.
getGradient(int) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
getGradient(int) - 类中的方法org.tensorflow.framework.FunctionDefLibrary: repeated .tensorflow.GradientDef gradient = 2;
getGradient(int) - 接口中的方法org.tensorflow.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.GradientDef gradient = 2;
getGradientBuilder(int) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
getGradientBuilderList() - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
getGradientCount() - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
getGradientCount() - 类中的方法org.tensorflow.framework.FunctionDefLibrary: repeated .tensorflow.GradientDef gradient = 2;
getGradientCount() - 接口中的方法org.tensorflow.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.GradientDef gradient = 2;
getGradientFunc() - 类中的方法org.tensorflow.framework.GradientDef.Builder: The gradient function's name.
getGradientFunc() - 类中的方法org.tensorflow.framework.GradientDef: The gradient function's name.
getGradientFunc() - 接口中的方法org.tensorflow.framework.GradientDefOrBuilder: The gradient function's name.
getGradientFuncBytes() - 类中的方法org.tensorflow.framework.GradientDef.Builder: The gradient function's name.
getGradientFuncBytes() - 类中的方法org.tensorflow.framework.GradientDef: The gradient function's name.
getGradientFuncBytes() - 接口中的方法org.tensorflow.framework.GradientDefOrBuilder: The gradient function's name.
getGradientList() - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
getGradientList() - 类中的方法org.tensorflow.framework.FunctionDefLibrary: repeated .tensorflow.GradientDef gradient = 2;
getGradientList() - 接口中的方法org.tensorflow.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.GradientDef gradient = 2;
getGradientOrBuilder(int) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
getGradientOrBuilder(int) - 类中的方法org.tensorflow.framework.FunctionDefLibrary: repeated .tensorflow.GradientDef gradient = 2;
getGradientOrBuilder(int) - 接口中的方法org.tensorflow.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.GradientDef gradient = 2;
getGradientOrBuilderList() - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
getGradientOrBuilderList() - 类中的方法org.tensorflow.framework.FunctionDefLibrary: repeated .tensorflow.GradientDef gradient = 2;
getGradientOrBuilderList() - 接口中的方法org.tensorflow.framework.FunctionDefLibraryOrBuilder: repeated .tensorflow.GradientDef gradient = 2;
getGraphDef() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder: The initial graph definition.
getGraphDef() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest: The initial graph definition.
getGraphDef() - 接口中的方法org.tensorflow.distruntime.CreateSessionRequestOrBuilder: The initial graph definition.
getGraphDef() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder: REQUIRED: The nodes to be added to the session's graph.
getGraphDef() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest: REQUIRED: The nodes to be added to the session's graph.
getGraphDef() - 接口中的方法org.tensorflow.distruntime.ExtendSessionRequestOrBuilder: REQUIRED: The nodes to be added to the session's graph.
getGraphDef() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: "graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.
getGraphDef() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest: "graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.
getGraphDef() - 接口中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder: "graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.
getGraphDef() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: GraphDef.
getGraphDef() - 类中的方法org.tensorflow.framework.MetaGraphDef: GraphDef.
getGraphDef() - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: GraphDef.
getGraphDefBuilder() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder: The initial graph definition.
getGraphDefBuilder() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder: REQUIRED: The nodes to be added to the session's graph.
getGraphDefBuilder() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: "graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.
getGraphDefBuilder() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: GraphDef.
getGraphDefOrBuilder() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder: The initial graph definition.
getGraphDefOrBuilder() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest: The initial graph definition.
getGraphDefOrBuilder() - 接口中的方法org.tensorflow.distruntime.CreateSessionRequestOrBuilder: The initial graph definition.
getGraphDefOrBuilder() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder: REQUIRED: The nodes to be added to the session's graph.
getGraphDefOrBuilder() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest: REQUIRED: The nodes to be added to the session's graph.
getGraphDefOrBuilder() - 接口中的方法org.tensorflow.distruntime.ExtendSessionRequestOrBuilder: REQUIRED: The nodes to be added to the session's graph.
getGraphDefOrBuilder() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: "graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.
getGraphDefOrBuilder() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest: "graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.
getGraphDefOrBuilder() - 接口中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder: "graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.
getGraphDefOrBuilder() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: GraphDef.
getGraphDefOrBuilder() - 类中的方法org.tensorflow.framework.MetaGraphDef: GraphDef.
getGraphDefOrBuilder() - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: GraphDef.
getGraphHandle() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder: REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.
getGraphHandle() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest: REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.
getGraphHandle() - 接口中的方法org.tensorflow.distruntime.DeregisterGraphRequestOrBuilder: REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.
getGraphHandle() - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder: If the registration succeeds, returns an opaque graph_handle to the master.
getGraphHandle() - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse: If the registration succeeds, returns an opaque graph_handle to the master.
getGraphHandle() - 接口中的方法org.tensorflow.distruntime.RegisterGraphResponseOrBuilder: If the registration succeeds, returns an opaque graph_handle to the master.
getGraphHandle() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.
getGraphHandle() - 类中的方法org.tensorflow.distruntime.RunGraphRequest: REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.
getGraphHandle() - 接口中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder: REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.
getGraphHandleBytes() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder: REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.
getGraphHandleBytes() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest: REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.
getGraphHandleBytes() - 接口中的方法org.tensorflow.distruntime.DeregisterGraphRequestOrBuilder: REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.
getGraphHandleBytes() - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder: If the registration succeeds, returns an opaque graph_handle to the master.
getGraphHandleBytes() - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse: If the registration succeeds, returns an opaque graph_handle to the master.
getGraphHandleBytes() - 接口中的方法org.tensorflow.distruntime.RegisterGraphResponseOrBuilder: If the registration succeeds, returns an opaque graph_handle to the master.
getGraphHandleBytes() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.
getGraphHandleBytes() - 类中的方法org.tensorflow.distruntime.RunGraphRequest: REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.
getGraphHandleBytes() - 接口中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder: REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.
getGraphInputNodeInfo(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
getGraphInputNodeInfo(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
getGraphInputNodeInfo(int) - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
getGraphInputNodeInfoBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
getGraphInputNodeInfoBuilderList() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
getGraphInputNodeInfoCount() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
getGraphInputNodeInfoCount() - 类中的方法org.tensorflow.framework.GraphTransferInfo: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
getGraphInputNodeInfoCount() - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
getGraphInputNodeInfoList() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
getGraphInputNodeInfoList() - 类中的方法org.tensorflow.framework.GraphTransferInfo: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
getGraphInputNodeInfoList() - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
getGraphInputNodeInfoOrBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
getGraphInputNodeInfoOrBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
getGraphInputNodeInfoOrBuilder(int) - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
getGraphInputNodeInfoOrBuilderList() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
getGraphInputNodeInfoOrBuilderList() - 类中的方法org.tensorflow.framework.GraphTransferInfo: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
getGraphInputNodeInfoOrBuilderList() - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
getGraphInputNodeName(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Remote fused graph input node name repeated string graph_input_node_name = 2;
getGraphInputNodeName(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Remote fused graph input node name repeated string graph_input_node_name = 2;
getGraphInputNodeName(int) - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Remote fused graph input node name repeated string graph_input_node_name = 2;
getGraphInputNodeNameBytes(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Remote fused graph input node name repeated string graph_input_node_name = 2;
getGraphInputNodeNameBytes(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Remote fused graph input node name repeated string graph_input_node_name = 2;
getGraphInputNodeNameBytes(int) - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Remote fused graph input node name repeated string graph_input_node_name = 2;
getGraphInputNodeNameCount() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Remote fused graph input node name repeated string graph_input_node_name = 2;
getGraphInputNodeNameCount() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Remote fused graph input node name repeated string graph_input_node_name = 2;
getGraphInputNodeNameCount() - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Remote fused graph input node name repeated string graph_input_node_name = 2;
getGraphInputNodeNameList() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Remote fused graph input node name repeated string graph_input_node_name = 2;
getGraphInputNodeNameList() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Remote fused graph input node name repeated string graph_input_node_name = 2;
getGraphInputNodeNameList() - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Remote fused graph input node name repeated string graph_input_node_name = 2;
getGraphKey(int) - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder: repeated int64 graph_key = 1;
getGraphKey(int) - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest: repeated int64 graph_key = 1;
getGraphKey(int) - 接口中的方法org.tensorflow.distruntime.GetStepSequenceRequestOrBuilder: repeated int64 graph_key = 1;
getGraphKey() - 类中的方法org.tensorflow.distruntime.StepSequence.Builder: int64 graph_key = 1;
getGraphKey() - 类中的方法org.tensorflow.distruntime.StepSequence: int64 graph_key = 1;
getGraphKey() - 接口中的方法org.tensorflow.distruntime.StepSequenceOrBuilder: int64 graph_key = 1;
getGraphKeyCount() - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder: repeated int64 graph_key = 1;
getGraphKeyCount() - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest: repeated int64 graph_key = 1;
getGraphKeyCount() - 接口中的方法org.tensorflow.distruntime.GetStepSequenceRequestOrBuilder: repeated int64 graph_key = 1;
getGraphKeyList() - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder: repeated int64 graph_key = 1;
getGraphKeyList() - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest: repeated int64 graph_key = 1;
getGraphKeyList() - 接口中的方法org.tensorflow.distruntime.GetStepSequenceRequestOrBuilder: repeated int64 graph_key = 1;
getGraphOpName() - 类中的方法org.tensorflow.framework.ApiDef.Builder: Name of the op (in the OpDef) to specify the API for.
getGraphOpName() - 类中的方法org.tensorflow.framework.ApiDef: Name of the op (in the OpDef) to specify the API for.
getGraphOpName() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: Name of the op (in the OpDef) to specify the API for.
getGraphOpNameBytes() - 类中的方法org.tensorflow.framework.ApiDef.Builder: Name of the op (in the OpDef) to specify the API for.
getGraphOpNameBytes() - 类中的方法org.tensorflow.framework.ApiDef: Name of the op (in the OpDef) to specify the API for.
getGraphOpNameBytes() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: Name of the op (in the OpDef) to specify the API for.
getGraphOptions() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Configuration options for the session in which this graph was created.
getGraphOptions() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest: Configuration options for the session in which this graph was created.
getGraphOptions() - 接口中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder: Configuration options for the session in which this graph was created.
getGraphOptions() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply to all graphs.
getGraphOptions() - 类中的方法org.tensorflow.framework.ConfigProto: Options that apply to all graphs.
getGraphOptions() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: Options that apply to all graphs.
getGraphOptionsBuilder() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Configuration options for the session in which this graph was created.
getGraphOptionsBuilder() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply to all graphs.
getGraphOptionsOrBuilder() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Configuration options for the session in which this graph was created.
getGraphOptionsOrBuilder() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest: Configuration options for the session in which this graph was created.
getGraphOptionsOrBuilder() - 接口中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder: Configuration options for the session in which this graph was created.
getGraphOptionsOrBuilder() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply to all graphs.
getGraphOptionsOrBuilder() - 类中的方法org.tensorflow.framework.ConfigProto: Options that apply to all graphs.
getGraphOptionsOrBuilder() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: Options that apply to all graphs.
getGraphOutputNodeInfo(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfo(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfo(int) - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoBuilderList() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoCount() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoCount() - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoCount() - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoList() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoList() - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoList() - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoOrBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoOrBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoOrBuilder(int) - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoOrBuilderList() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoOrBuilderList() - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoOrBuilderList() - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeName(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Remote fused graph output node name repeated string graph_output_node_name = 3;
getGraphOutputNodeName(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Remote fused graph output node name repeated string graph_output_node_name = 3;
getGraphOutputNodeName(int) - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Remote fused graph output node name repeated string graph_output_node_name = 3;
getGraphOutputNodeNameBytes(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Remote fused graph output node name repeated string graph_output_node_name = 3;
getGraphOutputNodeNameBytes(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Remote fused graph output node name repeated string graph_output_node_name = 3;
getGraphOutputNodeNameBytes(int) - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Remote fused graph output node name repeated string graph_output_node_name = 3;
getGraphOutputNodeNameCount() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Remote fused graph output node name repeated string graph_output_node_name = 3;
getGraphOutputNodeNameCount() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Remote fused graph output node name repeated string graph_output_node_name = 3;
getGraphOutputNodeNameCount() - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Remote fused graph output node name repeated string graph_output_node_name = 3;
getGraphOutputNodeNameList() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Remote fused graph output node name repeated string graph_output_node_name = 3;
getGraphOutputNodeNameList() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Remote fused graph output node name repeated string graph_output_node_name = 3;
getGraphOutputNodeNameList() - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Remote fused graph output node name repeated string graph_output_node_name = 3;
getGraphVersion() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder: The initial version number for the graph, to be used in the next call to ExtendSession.
getGraphVersion() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse: The initial version number for the graph, to be used in the next call to ExtendSession.
getGraphVersion() - 接口中的方法org.tensorflow.distruntime.CreateSessionResponseOrBuilder: The initial version number for the graph, to be used in the next call to ExtendSession.
getGroupKey() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder: int32 group_key = 1;
getGroupKey() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest: int32 group_key = 1;
getGroupKey() - 接口中的方法org.tensorflow.distruntime.CompleteGroupRequestOrBuilder: int32 group_key = 1;
getGroupKey() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: int32 group_key = 1;
getGroupKey() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse: int32 group_key = 1;
getGroupKey() - 接口中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder: int32 group_key = 1;
getGroupKey() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: int32 group_key = 5;
getGroupKey() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest: int32 group_key = 5;
getGroupKey() - 接口中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder: int32 group_key = 5;
getGroupSize() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder: int32 group_size = 2;
getGroupSize() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest: int32 group_size = 2;
getGroupSize() - 接口中的方法org.tensorflow.distruntime.CompleteGroupRequestOrBuilder: int32 group_size = 2;
getGroupSize() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: int32 group_size = 2;
getGroupSize() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse: int32 group_size = 2;
getGroupSize() - 接口中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder: int32 group_size = 2;
getGroupSize() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: int32 group_size = 6;
getGroupSize() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest: int32 group_size = 6;
getGroupSize() - 接口中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder: int32 group_size = 6;
getHalfVal(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_HALF, DT_BFLOAT16.
getHalfVal(int) - 类中的方法org.tensorflow.framework.TensorProto: DT_HALF, DT_BFLOAT16.
getHalfVal(int) - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_HALF, DT_BFLOAT16.
getHalfValCount() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_HALF, DT_BFLOAT16.
getHalfValCount() - 类中的方法org.tensorflow.framework.TensorProto: DT_HALF, DT_BFLOAT16.
getHalfValCount() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_HALF, DT_BFLOAT16.
getHalfValList() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_HALF, DT_BFLOAT16.
getHalfValList() - 类中的方法org.tensorflow.framework.TensorProto: DT_HALF, DT_BFLOAT16.
getHalfValList() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_HALF, DT_BFLOAT16.
getHandle() - 类中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder: A handle to the created callable.
getHandle() - 类中的方法org.tensorflow.distruntime.MakeCallableResponse: A handle to the created callable.
getHandle() - 接口中的方法org.tensorflow.distruntime.MakeCallableResponseOrBuilder: A handle to the created callable.
getHandle() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder: REQUIRED: handle must be returned by a MakeCallable call to the same master service.
getHandle() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest: REQUIRED: handle must be returned by a MakeCallable call to the same master service.
getHandle() - 接口中的方法org.tensorflow.distruntime.ReleaseCallableRequestOrBuilder: REQUIRED: handle must be returned by a MakeCallable call to the same master service.
getHandle() - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: REQUIRED: handle must be returned by a MakeCallable call to the same master service.
getHandle() - 类中的方法org.tensorflow.distruntime.RunCallableRequest: REQUIRED: handle must be returned by a MakeCallable call to the same master service.
getHandle() - 接口中的方法org.tensorflow.distruntime.RunCallableRequestOrBuilder: REQUIRED: handle must be returned by a MakeCallable call to the same master service.
getHandle() - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder: Handle describing the feeds and fetches of the step.
getHandle() - 类中的方法org.tensorflow.framework.MemoryLogStep: Handle describing the feeds and fetches of the step.
getHandle() - 接口中的方法org.tensorflow.framework.MemoryLogStepOrBuilder: Handle describing the feeds and fetches of the step.
getHandleBytes() - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder: Handle describing the feeds and fetches of the step.
getHandleBytes() - 类中的方法org.tensorflow.framework.MemoryLogStep: Handle describing the feeds and fetches of the step.
getHandleBytes() - 接口中的方法org.tensorflow.framework.MemoryLogStepOrBuilder: Handle describing the feeds and fetches of the step.
getHandleReloadConfigRequestMethod() - 类中的静态方法tensorflow.serving.ModelServiceGrpc
getHandleToDecref() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder: .tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
getHandleToDecref() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem: .tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
getHandleToDecref() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder: .tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
getHandleToDecrefBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder: .tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
getHandleToDecrefOrBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder: .tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
getHandleToDecrefOrBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem: .tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
getHandleToDecrefOrBuilder() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder: .tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
getHasControlFlow() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: 已过时。
getHasControlFlow() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest: 已过时。
getHasControlFlow() - 接口中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder: 已过时。
getHashCode() - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: Hash code for the type of the resource.
getHashCode() - 类中的方法org.tensorflow.framework.ResourceHandleProto: Hash code for the type of the resource.
getHashCode() - 接口中的方法org.tensorflow.framework.ResourceHandleProtoOrBuilder: Hash code for the type of the resource.
getHasLengthCase() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
getHasLengthCase() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent
getHasLengthCase() - 接口中的方法org.tensorflow.framework.TensorSliceProto.ExtentOrBuilder
getHasMinimum() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: For type == "int", this is a minimum value.
getHasMinimum() - 类中的方法org.tensorflow.framework.OpDef.AttrDef: For type == "int", this is a minimum value.
getHasMinimum() - 接口中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder: For type == "int", this is a minimum value.
getHasSingleReference() - 类中的方法org.tensorflow.framework.AllocationDescription.Builder: Set if this tensor only has one remaining reference bool has_single_reference = 5;
getHasSingleReference() - 类中的方法org.tensorflow.framework.AllocationDescription: Set if this tensor only has one remaining reference bool has_single_reference = 5;
getHasSingleReference() - 接口中的方法org.tensorflow.framework.AllocationDescriptionOrBuilder: Set if this tensor only has one remaining reference bool has_single_reference = 5;
getHeight() - 类中的方法org.tensorflow.framework.Summary.Image.Builder: Dimensions of the image.
getHeight() - 类中的方法org.tensorflow.framework.Summary.Image: Dimensions of the image.
getHeight() - 接口中的方法org.tensorflow.framework.Summary.ImageOrBuilder: Dimensions of the image.
getHisto() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
getHisto() - 类中的方法org.tensorflow.framework.Summary.Value: .tensorflow.HistogramProto histo = 5;
getHisto() - 接口中的方法org.tensorflow.framework.Summary.ValueOrBuilder: .tensorflow.HistogramProto histo = 5;
getHistoBuilder() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
getHistoOrBuilder() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
getHistoOrBuilder() - 类中的方法org.tensorflow.framework.Summary.Value: .tensorflow.HistogramProto histo = 5;
getHistoOrBuilder() - 接口中的方法org.tensorflow.framework.Summary.ValueOrBuilder: .tensorflow.HistogramProto histo = 5;
getHost() - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: The host name on which a source code file is located.
getHost() - 类中的方法org.tensorflow.framework.DebuggedSourceFile: The host name on which a source code file is located.
getHost() - 接口中的方法org.tensorflow.framework.DebuggedSourceFileOrBuilder: The host name on which a source code file is located.
getHostBytes() - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: The host name on which a source code file is located.
getHostBytes() - 类中的方法org.tensorflow.framework.DebuggedSourceFile: The host name on which a source code file is located.
getHostBytes() - 接口中的方法org.tensorflow.framework.DebuggedSourceFileOrBuilder: The host name on which a source code file is located.
getHostMemoryArg(int) - 类中的方法org.tensorflow.framework.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArg(int) - 类中的方法org.tensorflow.framework.KernelDef: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArg(int) - 接口中的方法org.tensorflow.framework.KernelDefOrBuilder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgBytes(int) - 类中的方法org.tensorflow.framework.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgBytes(int) - 类中的方法org.tensorflow.framework.KernelDef: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgBytes(int) - 接口中的方法org.tensorflow.framework.KernelDefOrBuilder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgCount() - 类中的方法org.tensorflow.framework.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgCount() - 类中的方法org.tensorflow.framework.KernelDef: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgCount() - 接口中的方法org.tensorflow.framework.KernelDefOrBuilder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgList() - 类中的方法org.tensorflow.framework.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgList() - 类中的方法org.tensorflow.framework.KernelDef: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgList() - 接口中的方法org.tensorflow.framework.KernelDefOrBuilder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostTempMemorySize() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: 已过时。
getHostTempMemorySize() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: 已过时。
getHostTempMemorySize() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: 已过时。
getI() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "int" int64 i = 3;
getI() - 类中的方法org.tensorflow.framework.AttrValue: "int" int64 i = 3;
getI(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(int)" repeated int64 i = 3 [packed = true];
getI(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(int)" repeated int64 i = 3 [packed = true];
getI(int) - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(int)" repeated int64 i = 3 [packed = true];
getI() - 接口中的方法org.tensorflow.framework.AttrValueOrBuilder: "int" int64 i = 3;
getICount() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(int)" repeated int64 i = 3 [packed = true];
getICount() - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(int)" repeated int64 i = 3 [packed = true];
getICount() - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(int)" repeated int64 i = 3 [packed = true];
getId() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: The id of the node.
getId() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: The id of the node.
getId() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: The id of the node.
getId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: A unique identifier for the operation.
getId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation: A unique identifier for the operation.
getId() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder: A unique identifier for the operation.
getIList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(int)" repeated int64 i = 3 [packed = true];
getIList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(int)" repeated int64 i = 3 [packed = true];
getIList() - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(int)" repeated int64 i = 3 [packed = true];
getImage() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
getImage() - 类中的方法org.tensorflow.framework.Summary.Value: .tensorflow.Summary.Image image = 4;
getImage() - 接口中的方法org.tensorflow.framework.Summary.ValueOrBuilder: .tensorflow.Summary.Image image = 4;
getImageBuilder() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
getImageOrBuilder() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
getImageOrBuilder() - 类中的方法org.tensorflow.framework.Summary.Value: .tensorflow.Summary.Image image = 4;
getImageOrBuilder() - 接口中的方法org.tensorflow.framework.Summary.ValueOrBuilder: .tensorflow.Summary.Image image = 4;
getInaccurate() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Are the costs inaccurate?
getInaccurate() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: Are the costs inaccurate?
getInaccurate() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: Are the costs inaccurate?
getInArg(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArg(int) - 类中的方法org.tensorflow.framework.ApiDef: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArg(int) - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgBuilder(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgBuilderList() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgCount() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgCount() - 类中的方法org.tensorflow.framework.ApiDef: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgCount() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgList() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgList() - 类中的方法org.tensorflow.framework.ApiDef: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgList() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgOrBuilder(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgOrBuilder(int) - 类中的方法org.tensorflow.framework.ApiDef: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgOrBuilder(int) - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgOrBuilderList() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgOrBuilderList() - 类中的方法org.tensorflow.framework.ApiDef: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgOrBuilderList() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getIncarnation() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: A device is assigned a global unique number each time it is initialized.
getIncarnation() - 类中的方法org.tensorflow.framework.DeviceAttributes: A device is assigned a global unique number each time it is initialized.
getIncarnation() - 接口中的方法org.tensorflow.framework.DeviceAttributesOrBuilder: A device is assigned a global unique number each time it is initialized.
getIndex() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder: Index of the output being set.
getIndex() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput: Index of the output being set.
getIndex() - 接口中的方法org.tensorflow.framework.MemoryLogTensorOutputOrBuilder: Index of the output being set.
getIndicesOutputTensorName() - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder: string indices_output_tensor_name = 3;
getIndicesOutputTensorName() - 类中的方法org.tensorflow.example.VarLenFeatureProto: string indices_output_tensor_name = 3;
getIndicesOutputTensorName() - 接口中的方法org.tensorflow.example.VarLenFeatureProtoOrBuilder: string indices_output_tensor_name = 3;
getIndicesOutputTensorNameBytes() - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder: string indices_output_tensor_name = 3;
getIndicesOutputTensorNameBytes() - 类中的方法org.tensorflow.example.VarLenFeatureProto: string indices_output_tensor_name = 3;
getIndicesOutputTensorNameBytes() - 接口中的方法org.tensorflow.example.VarLenFeatureProtoOrBuilder: string indices_output_tensor_name = 3;
getIndicesTensorName() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder: The indices Tensor must have dtype int64 and shape [?
getIndicesTensorName() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse: The indices Tensor must have dtype int64 and shape [?
getIndicesTensorName() - 接口中的方法org.tensorflow.framework.TensorInfo.CooSparseOrBuilder: The indices Tensor must have dtype int64 and shape [?
getIndicesTensorNameBytes() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder: The indices Tensor must have dtype int64 and shape [?
getIndicesTensorNameBytes() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse: The indices Tensor must have dtype int64 and shape [?
getIndicesTensorNameBytes() - 接口中的方法org.tensorflow.framework.TensorInfo.CooSparseOrBuilder: The indices Tensor must have dtype int64 and shape [?
getInferShapes() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: Annotate each Node with Op output shape data, to the extent it can be statically inferred.
getInferShapes() - 类中的方法org.tensorflow.framework.GraphOptions: Annotate each Node with Op output shape data, to the extent it can be statically inferred.
getInferShapes() - 接口中的方法org.tensorflow.framework.GraphOptionsOrBuilder: Annotate each Node with Op output shape data, to the extent it can be statically inferred.
getInitializerName() - 类中的方法org.tensorflow.framework.VariableDef.Builder: Name of the initializer op.
getInitializerName() - 类中的方法org.tensorflow.framework.VariableDef: Name of the initializer op.
getInitializerName() - 接口中的方法org.tensorflow.framework.VariableDefOrBuilder: Name of the initializer op.
getInitializerNameBytes() - 类中的方法org.tensorflow.framework.VariableDef.Builder: Name of the initializer op.
getInitializerNameBytes() - 类中的方法org.tensorflow.framework.VariableDef: Name of the initializer op.
getInitializerNameBytes() - 接口中的方法org.tensorflow.framework.VariableDefOrBuilder: Name of the initializer op.
getInitialValueName() - 类中的方法org.tensorflow.framework.VariableDef.Builder: Name of the tensor holding the variable's initial value.
getInitialValueName() - 类中的方法org.tensorflow.framework.VariableDef: Name of the tensor holding the variable's initial value.
getInitialValueName() - 接口中的方法org.tensorflow.framework.VariableDefOrBuilder: Name of the tensor holding the variable's initial value.
getInitialValueNameBytes() - 类中的方法org.tensorflow.framework.VariableDef.Builder: Name of the tensor holding the variable's initial value.
getInitialValueNameBytes() - 类中的方法org.tensorflow.framework.VariableDef: Name of the tensor holding the variable's initial value.
getInitialValueNameBytes() - 接口中的方法org.tensorflow.framework.VariableDefOrBuilder: Name of the tensor holding the variable's initial value.
getInput(int) - 类中的方法org.tensorflow.framework.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInput(int) - 类中的方法org.tensorflow.framework.NodeDef: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInput(int) - 接口中的方法org.tensorflow.framework.NodeDefOrBuilder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInput() - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder: Input data.
getInput() - 类中的方法tensorflow.serving.Classification.ClassificationRequest: Input data.
getInput() - 接口中的方法tensorflow.serving.Classification.ClassificationRequestOrBuilder: Input data.
getInput() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Input data.
getInput() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest: Input data.
getInput() - 接口中的方法tensorflow.serving.Inference.MultiInferenceRequestOrBuilder: Input data.
getInput() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder: Input data.
getInput() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest: Input data.
getInput() - 接口中的方法tensorflow.serving.RegressionOuterClass.RegressionRequestOrBuilder: Input data.
getInputArg(int) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the input(s).
getInputArg(int) - 类中的方法org.tensorflow.framework.OpDef: Description of the input(s).
getInputArg(int) - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: Description of the input(s).
getInputArgBuilder(int) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the input(s).
getInputArgBuilderList() - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the input(s).
getInputArgCount() - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the input(s).
getInputArgCount() - 类中的方法org.tensorflow.framework.OpDef: Description of the input(s).
getInputArgCount() - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: Description of the input(s).
getInputArgList() - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the input(s).
getInputArgList() - 类中的方法org.tensorflow.framework.OpDef: Description of the input(s).
getInputArgList() - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: Description of the input(s).
getInputArgOrBuilder(int) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the input(s).
getInputArgOrBuilder(int) - 类中的方法org.tensorflow.framework.OpDef: Description of the input(s).
getInputArgOrBuilder(int) - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: Description of the input(s).
getInputArgOrBuilderList() - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the input(s).
getInputArgOrBuilderList() - 类中的方法org.tensorflow.framework.OpDef: Description of the input(s).
getInputArgOrBuilderList() - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: Description of the input(s).
getInputBuilder() - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder: Input data.
getInputBuilder() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Input data.
getInputBuilder() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder: Input data.
getInputBytes(int) - 类中的方法org.tensorflow.framework.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputBytes(int) - 类中的方法org.tensorflow.framework.NodeDef: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputBytes(int) - 接口中的方法org.tensorflow.framework.NodeDefOrBuilder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputCount() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: int32 input_count = 6;
getInputCount() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo: int32 input_count = 6;
getInputCount() - 接口中的方法org.tensorflow.framework.GraphTransferNodeInfoOrBuilder: int32 input_count = 6;
getInputCount() - 类中的方法org.tensorflow.framework.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputCount() - 类中的方法org.tensorflow.framework.NodeDef: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputCount() - 接口中的方法org.tensorflow.framework.NodeDefOrBuilder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputInfo(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfo(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfo(int) - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoBuilder(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoBuilderList() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoCount() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoCount() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoCount() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoList() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoList() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoList() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoOrBuilder(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoOrBuilder(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoOrBuilder(int) - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoOrBuilderList() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoOrBuilderList() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoOrBuilderList() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputList() - 类中的方法org.tensorflow.framework.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputList() - 类中的方法org.tensorflow.framework.NodeDef: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputList() - 接口中的方法org.tensorflow.framework.NodeDefOrBuilder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputOrBuilder() - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder: Input data.
getInputOrBuilder() - 类中的方法tensorflow.serving.Classification.ClassificationRequest: Input data.
getInputOrBuilder() - 接口中的方法tensorflow.serving.Classification.ClassificationRequestOrBuilder: Input data.
getInputOrBuilder() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Input data.
getInputOrBuilder() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest: Input data.
getInputOrBuilder() - 接口中的方法tensorflow.serving.Inference.MultiInferenceRequestOrBuilder: Input data.
getInputOrBuilder() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder: Input data.
getInputOrBuilder() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest: Input data.
getInputOrBuilder() - 接口中的方法tensorflow.serving.RegressionOuterClass.RegressionRequestOrBuilder: Input data.
getInputs() - 类中的方法org.tensorflow.framework.SignatureDef.Builder: 已过时。
getInputs() - 类中的方法org.tensorflow.framework.SignatureDef: 已过时。
getInputs() - 接口中的方法org.tensorflow.framework.SignatureDefOrBuilder: 已过时。
getInputs(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
getInputs(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
getInputs(int) - 接口中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
getInputs() - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: 已过时。
getInputs() - 类中的方法tensorflow.serving.Predict.PredictRequest: 已过时。
getInputs() - 接口中的方法tensorflow.serving.Predict.PredictRequestOrBuilder: 已过时。
getInputsBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
getInputsBuilderList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
getInputsCount() - 类中的方法org.tensorflow.framework.SignatureDef.Builder
getInputsCount() - 类中的方法org.tensorflow.framework.SignatureDef
getInputsCount() - 接口中的方法org.tensorflow.framework.SignatureDefOrBuilder: Named input parameters.
getInputsCount() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
getInputsCount() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
getInputsCount() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
getInputsCount() - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder
getInputsCount() - 类中的方法tensorflow.serving.Predict.PredictRequest
getInputsCount() - 接口中的方法tensorflow.serving.Predict.PredictRequestOrBuilder: Input tensors.
getInputsList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
getInputsList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
getInputsList() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
getInputsMap() - 类中的方法org.tensorflow.framework.SignatureDef.Builder: Named input parameters.
getInputsMap() - 类中的方法org.tensorflow.framework.SignatureDef: Named input parameters.
getInputsMap() - 接口中的方法org.tensorflow.framework.SignatureDefOrBuilder: Named input parameters.
getInputsMap() - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Input tensors.
getInputsMap() - 类中的方法tensorflow.serving.Predict.PredictRequest: Input tensors.
getInputsMap() - 接口中的方法tensorflow.serving.Predict.PredictRequestOrBuilder: Input tensors.
getInputsOrBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
getInputsOrBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
getInputsOrBuilder(int) - 接口中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
getInputsOrBuilderList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
getInputsOrBuilderList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
getInputsOrBuilderList() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
getInputsOrDefault(String, TensorInfo) - 类中的方法org.tensorflow.framework.SignatureDef.Builder: Named input parameters.
getInputsOrDefault(String, TensorInfo) - 类中的方法org.tensorflow.framework.SignatureDef: Named input parameters.
getInputsOrDefault(String, TensorInfo) - 接口中的方法org.tensorflow.framework.SignatureDefOrBuilder: Named input parameters.
getInputsOrDefault(String, TensorProto) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Input tensors.
getInputsOrDefault(String, TensorProto) - 类中的方法tensorflow.serving.Predict.PredictRequest: Input tensors.
getInputsOrDefault(String, TensorProto) - 接口中的方法tensorflow.serving.Predict.PredictRequestOrBuilder: Input tensors.
getInputsOrThrow(String) - 类中的方法org.tensorflow.framework.SignatureDef.Builder: Named input parameters.
getInputsOrThrow(String) - 类中的方法org.tensorflow.framework.SignatureDef: Named input parameters.
getInputsOrThrow(String) - 接口中的方法org.tensorflow.framework.SignatureDefOrBuilder: Named input parameters.
getInputsOrThrow(String) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Input tensors.
getInputsOrThrow(String) - 类中的方法tensorflow.serving.Predict.PredictRequest: Input tensors.
getInputsOrThrow(String) - 接口中的方法tensorflow.serving.Predict.PredictRequestOrBuilder: Input tensors.
getInstanceKey() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: int32 instance_key = 7;
getInstanceKey() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest: int32 instance_key = 7;
getInstanceKey() - 接口中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder: int32 instance_key = 7;
getInstanceKey() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder: int32 instance_key = 1;
getInstanceKey() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse: int32 instance_key = 1;
getInstanceKey() - 接口中的方法org.tensorflow.distruntime.CompleteInstanceResponseOrBuilder: int32 instance_key = 1;
getInt64List() - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.Int64List int64_list = 3;
getInt64List() - 类中的方法org.tensorflow.example.Feature: .tensorflow.Int64List int64_list = 3;
getInt64List() - 接口中的方法org.tensorflow.example.FeatureOrBuilder: .tensorflow.Int64List int64_list = 3;
getInt64List() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
getInt64List() - 类中的方法org.tensorflow.framework.CollectionDef: .tensorflow.CollectionDef.Int64List int64_list = 3;
getInt64List() - 接口中的方法org.tensorflow.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.Int64List int64_list = 3;
getInt64ListBuilder() - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.Int64List int64_list = 3;
getInt64ListBuilder() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
getInt64ListOrBuilder() - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.Int64List int64_list = 3;
getInt64ListOrBuilder() - 类中的方法org.tensorflow.example.Feature: .tensorflow.Int64List int64_list = 3;
getInt64ListOrBuilder() - 接口中的方法org.tensorflow.example.FeatureOrBuilder: .tensorflow.Int64List int64_list = 3;
getInt64ListOrBuilder() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
getInt64ListOrBuilder() - 类中的方法org.tensorflow.framework.CollectionDef: .tensorflow.CollectionDef.Int64List int64_list = 3;
getInt64ListOrBuilder() - 接口中的方法org.tensorflow.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.Int64List int64_list = 3;
getInt64Val(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_INT64 repeated int64 int64_val = 10 [packed = true];
getInt64Val(int) - 类中的方法org.tensorflow.framework.TensorProto: DT_INT64 repeated int64 int64_val = 10 [packed = true];
getInt64Val(int) - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_INT64 repeated int64 int64_val = 10 [packed = true];
getInt64ValCount() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_INT64 repeated int64 int64_val = 10 [packed = true];
getInt64ValCount() - 类中的方法org.tensorflow.framework.TensorProto: DT_INT64 repeated int64 int64_val = 10 [packed = true];
getInt64ValCount() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_INT64 repeated int64 int64_val = 10 [packed = true];
getInt64ValList() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_INT64 repeated int64 int64_val = 10 [packed = true];
getInt64ValList() - 类中的方法org.tensorflow.framework.TensorProto: DT_INT64 repeated int64 int64_val = 10 [packed = true];
getInt64ValList() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_INT64 repeated int64 int64_val = 10 [packed = true];
getInterOpParallelismThreads() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process. 0 means the system picks an appropriate number.
getInterOpParallelismThreads() - 类中的方法org.tensorflow.framework.ConfigProto: Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process. 0 means the system picks an appropriate number.
getInterOpParallelismThreads() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process. 0 means the system picks an appropriate number.
getInterOpThreadPool() - 类中的方法org.tensorflow.framework.RunOptions.Builder: The thread pool to use, if session_inter_op_thread_pool is configured.
getInterOpThreadPool() - 类中的方法org.tensorflow.framework.RunOptions: The thread pool to use, if session_inter_op_thread_pool is configured.
getInterOpThreadPool() - 接口中的方法org.tensorflow.framework.RunOptionsOrBuilder: The thread pool to use, if session_inter_op_thread_pool is configured.
getIntraOpParallelismThreads() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads. 0 means the system picks an appropriate number.
getIntraOpParallelismThreads() - 类中的方法org.tensorflow.framework.ConfigProto: The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads. 0 means the system picks an appropriate number.
getIntraOpParallelismThreads() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads. 0 means the system picks an appropriate number.
getIntVal(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
getIntVal(int) - 类中的方法org.tensorflow.framework.TensorProto: DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
getIntVal(int) - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
getIntValCount() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
getIntValCount() - 类中的方法org.tensorflow.framework.TensorProto: DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
getIntValCount() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
getIntValList() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
getIntValList() - 类中的方法org.tensorflow.framework.TensorProto: DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
getIntValList() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
getIsAggregate() - 类中的方法org.tensorflow.framework.OpDef.Builder: If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
getIsAggregate() - 类中的方法org.tensorflow.framework.OpDef: If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
getIsAggregate() - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
getIsCommutative() - 类中的方法org.tensorflow.framework.OpDef.Builder: True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18;
getIsCommutative() - 类中的方法org.tensorflow.framework.OpDef: True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18;
getIsCommutative() - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18;
getIsDead() - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder: True if value is 'dead' like a tensor.
getIsDead() - 类中的方法org.tensorflow.distruntime.RecvBufResponse: True if value is 'dead' like a tensor.
getIsDead() - 接口中的方法org.tensorflow.distruntime.RecvBufResponseOrBuilder: True if value is 'dead' like a tensor.
getIsDead() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder: If true, this tensor was the output of a dead node, and the content is invalid.
getIsDead() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse: If true, this tensor was the output of a dead node, and the content is invalid.
getIsDead() - 接口中的方法org.tensorflow.distruntime.RecvTensorResponseOrBuilder: If true, this tensor was the output of a dead node, and the content is invalid.
getIsFinal() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: If true, the output is permanent: it can't be discarded, because this node is part of the "final output".
getIsFinal() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: If true, the output is permanent: it can't be discarded, because this node is part of the "final output".
getIsFinal() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: If true, the output is permanent: it can't be discarded, because this node is part of the "final output".
getIsLastPartialRun() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: True if this is the last partial run request in a sequence of requests.
getIsLastPartialRun() - 类中的方法org.tensorflow.distruntime.RunGraphRequest: True if this is the last partial run request in a sequence of requests.
getIsLastPartialRun() - 接口中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder: True if this is the last partial run request in a sequence of requests.
getIsolateSessionState() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder: If true, any resources such as Variables used in the session will not be shared with other sessions.
getIsolateSessionState() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest: If true, any resources such as Variables used in the session will not be shared with other sessions.
getIsolateSessionState() - 接口中的方法org.tensorflow.distruntime.CreateWorkerSessionRequestOrBuilder: If true, any resources such as Variables used in the session will not be shared with other sessions.
getIsolateSessionState() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: If true, any resources such as Variables used in the session will not be shared with other sessions.
getIsolateSessionState() - 类中的方法org.tensorflow.framework.ConfigProto: If true, any resources such as Variables used in the session will not be shared with other sessions.
getIsolateSessionState() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: If true, any resources such as Variables used in the session will not be shared with other sessions.
getIsPartial() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: True if the RunGraphRequest is a partial run request.
getIsPartial() - 类中的方法org.tensorflow.distruntime.RunGraphRequest: True if the RunGraphRequest is a partial run request.
getIsPartial() - 接口中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder: True if the RunGraphRequest is a partial run request.
getIsRef() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: For inputs: if true, the inputs are required to be refs.
getIsRef() - 类中的方法org.tensorflow.framework.OpDef.ArgDef: For inputs: if true, the inputs are required to be refs.
getIsRef() - 接口中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder: For inputs: if true, the inputs are required to be refs.
getIsResource() - 类中的方法org.tensorflow.framework.VariableDef.Builder: Whether to represent this as a ResourceVariable.
getIsResource() - 类中的方法org.tensorflow.framework.VariableDef: Whether to represent this as a ResourceVariable.
getIsResource() - 接口中的方法org.tensorflow.framework.VariableDefOrBuilder: Whether to represent this as a ResourceVariable.
getIsSource() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: bool is_source = 11;
getIsSource() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest: bool is_source = 11;
getIsSource() - 接口中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder: bool is_source = 11;
getIsStateful() - 类中的方法org.tensorflow.framework.OpDef.Builder: Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g. variable reading op) or if they have a side-effect (e.g. printing or asserting ops).
getIsStateful() - 类中的方法org.tensorflow.framework.OpDef: Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g. variable reading op) or if they have a side-effect (e.g. printing or asserting ops).
getIsStateful() - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g. variable reading op) or if they have a side-effect (e.g. printing or asserting ops).
getItemCase() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
getItemCase() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem
getItemCase() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder
getJob(int) - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
getJob(int) - 类中的方法org.tensorflow.distruntime.ClusterDef: The jobs that comprise the cluster.
getJob(int) - 接口中的方法org.tensorflow.distruntime.ClusterDefOrBuilder: The jobs that comprise the cluster.
getJobBuilder(int) - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
getJobBuilderList() - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
getJobCount() - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
getJobCount() - 类中的方法org.tensorflow.distruntime.ClusterDef: The jobs that comprise the cluster.
getJobCount() - 接口中的方法org.tensorflow.distruntime.ClusterDefOrBuilder: The jobs that comprise the cluster.
getJobList() - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
getJobList() - 类中的方法org.tensorflow.distruntime.ClusterDef: The jobs that comprise the cluster.
getJobList() - 接口中的方法org.tensorflow.distruntime.ClusterDefOrBuilder: The jobs that comprise the cluster.
getJobName() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The name of the job of which this server is a member.
getJobName() - 类中的方法org.tensorflow.distruntime.ServerDef: The name of the job of which this server is a member.
getJobName() - 接口中的方法org.tensorflow.distruntime.ServerDefOrBuilder: The name of the job of which this server is a member.
getJobNameBytes() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The name of the job of which this server is a member.
getJobNameBytes() - 类中的方法org.tensorflow.distruntime.ServerDef: The name of the job of which this server is a member.
getJobNameBytes() - 接口中的方法org.tensorflow.distruntime.ServerDefOrBuilder: The name of the job of which this server is a member.
getJobOrBuilder(int) - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
getJobOrBuilder(int) - 类中的方法org.tensorflow.distruntime.ClusterDef: The jobs that comprise the cluster.
getJobOrBuilder(int) - 接口中的方法org.tensorflow.distruntime.ClusterDefOrBuilder: The jobs that comprise the cluster.
getJobOrBuilderList() - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
getJobOrBuilderList() - 类中的方法org.tensorflow.distruntime.ClusterDef: The jobs that comprise the cluster.
getJobOrBuilderList() - 接口中的方法org.tensorflow.distruntime.ClusterDefOrBuilder: The jobs that comprise the cluster.
getKeepAliveMethod() - 类中的静态方法tensorflow.eager.EagerServiceGrpc
getKeepAliveSecs() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: Number of seconds to keep the context alive.
getKeepAliveSecs() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest: Number of seconds to keep the context alive.
getKeepAliveSecs() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder: Number of seconds to keep the context alive.
getKeepCheckpointEveryNHours() - 类中的方法org.tensorflow.util.SaverDef.Builder: How often to keep an additional checkpoint.
getKeepCheckpointEveryNHours() - 类中的方法org.tensorflow.util.SaverDef: How often to keep an additional checkpoint.
getKeepCheckpointEveryNHours() - 接口中的方法org.tensorflow.util.SaverDefOrBuilder: How often to keep an additional checkpoint.
getKernel(int) - 类中的方法org.tensorflow.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
getKernel(int) - 类中的方法org.tensorflow.framework.KernelList: repeated .tensorflow.KernelDef kernel = 1;
getKernel(int) - 接口中的方法org.tensorflow.framework.KernelListOrBuilder: repeated .tensorflow.KernelDef kernel = 1;
getKernelBuilder(int) - 类中的方法org.tensorflow.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
getKernelBuilderList() - 类中的方法org.tensorflow.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
getKernelCount() - 类中的方法org.tensorflow.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
getKernelCount() - 类中的方法org.tensorflow.framework.KernelList: repeated .tensorflow.KernelDef kernel = 1;
getKernelCount() - 接口中的方法org.tensorflow.framework.KernelListOrBuilder: repeated .tensorflow.KernelDef kernel = 1;
getKernelList() - 类中的方法org.tensorflow.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
getKernelList() - 类中的方法org.tensorflow.framework.KernelList: repeated .tensorflow.KernelDef kernel = 1;
getKernelList() - 接口中的方法org.tensorflow.framework.KernelListOrBuilder: repeated .tensorflow.KernelDef kernel = 1;
getKernelName() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelName() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelName() - 接口中的方法org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelName() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelName() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelName() - 接口中的方法org.tensorflow.framework.MemoryLogTensorOutputOrBuilder: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelNameBytes() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelNameBytes() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelNameBytes() - 接口中的方法org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelNameBytes() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelNameBytes() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelNameBytes() - 接口中的方法org.tensorflow.framework.MemoryLogTensorOutputOrBuilder: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelOrBuilder(int) - 类中的方法org.tensorflow.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
getKernelOrBuilder(int) - 类中的方法org.tensorflow.framework.KernelList: repeated .tensorflow.KernelDef kernel = 1;
getKernelOrBuilder(int) - 接口中的方法org.tensorflow.framework.KernelListOrBuilder: repeated .tensorflow.KernelDef kernel = 1;
getKernelOrBuilderList() - 类中的方法org.tensorflow.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
getKernelOrBuilderList() - 类中的方法org.tensorflow.framework.KernelList: repeated .tensorflow.KernelDef kernel = 1;
getKernelOrBuilderList() - 接口中的方法org.tensorflow.framework.KernelListOrBuilder: repeated .tensorflow.KernelDef kernel = 1;
getKeys(int) - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder: Keys for tensors in the VariantTensorDataProto.
getKeys(int) - 类中的方法org.tensorflow.util.IteratorStateMetadata: Keys for tensors in the VariantTensorDataProto.
getKeys(int) - 接口中的方法org.tensorflow.util.IteratorStateMetadataOrBuilder: Keys for tensors in the VariantTensorDataProto.
getKeysBytes(int) - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder: Keys for tensors in the VariantTensorDataProto.
getKeysBytes(int) - 类中的方法org.tensorflow.util.IteratorStateMetadata: Keys for tensors in the VariantTensorDataProto.
getKeysBytes(int) - 接口中的方法org.tensorflow.util.IteratorStateMetadataOrBuilder: Keys for tensors in the VariantTensorDataProto.
getKeysCount() - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder: Keys for tensors in the VariantTensorDataProto.
getKeysCount() - 类中的方法org.tensorflow.util.IteratorStateMetadata: Keys for tensors in the VariantTensorDataProto.
getKeysCount() - 接口中的方法org.tensorflow.util.IteratorStateMetadataOrBuilder: Keys for tensors in the VariantTensorDataProto.
getKeysList() - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder: Keys for tensors in the VariantTensorDataProto.
getKeysList() - 类中的方法org.tensorflow.util.IteratorStateMetadata: Keys for tensors in the VariantTensorDataProto.
getKeysList() - 接口中的方法org.tensorflow.util.IteratorStateMetadataOrBuilder: Keys for tensors in the VariantTensorDataProto.
getKindCase() - 类中的方法org.tensorflow.example.Feature.Builder
getKindCase() - 类中的方法org.tensorflow.example.Feature
getKindCase() - 接口中的方法org.tensorflow.example.FeatureOrBuilder
getKindCase() - 类中的方法org.tensorflow.framework.CollectionDef.Builder
getKindCase() - 类中的方法org.tensorflow.framework.CollectionDef
getKindCase() - 接口中的方法org.tensorflow.framework.CollectionDefOrBuilder
getKindCase() - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder
getKindCase() - 类中的方法tensorflow.serving.InputOuterClass.Input
getKindCase() - 接口中的方法tensorflow.serving.InputOuterClass.InputOrBuilder
getKindCase() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
getKindCase() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
getKindCase() - 接口中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInputOrBuilder
getL1CacheSize() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: L1 cache size in bytes int64 l1_cache_size = 8;
getL1CacheSize() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties: L1 cache size in bytes int64 l1_cache_size = 8;
getL1CacheSize() - 接口中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder: L1 cache size in bytes int64 l1_cache_size = 8;
getL2CacheSize() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: L2 cache size in bytes int64 l2_cache_size = 9;
getL2CacheSize() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties: L2 cache size in bytes int64 l2_cache_size = 9;
getL2CacheSize() - 接口中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder: L2 cache size in bytes int64 l2_cache_size = 9;
getL3CacheSize() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: L3 cache size in bytes int64 l3_cache_size = 10;
getL3CacheSize() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties: L3 cache size in bytes int64 l3_cache_size = 10;
getL3CacheSize() - 接口中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder: L3 cache size in bytes int64 l3_cache_size = 10;
getLabel() - 类中的方法org.tensorflow.framework.KernelDef.Builder: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
getLabel() - 类中的方法org.tensorflow.framework.KernelDef: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
getLabel() - 接口中的方法org.tensorflow.framework.KernelDefOrBuilder: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
getLabel() - 类中的方法tensorflow.serving.Classification.Class.Builder: Label or name of the class.
getLabel() - 类中的方法tensorflow.serving.Classification.Class: Label or name of the class.
getLabel() - 接口中的方法tensorflow.serving.Classification.ClassOrBuilder: Label or name of the class.
getLabelBytes() - 类中的方法org.tensorflow.framework.KernelDef.Builder: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
getLabelBytes() - 类中的方法org.tensorflow.framework.KernelDef: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
getLabelBytes() - 接口中的方法org.tensorflow.framework.KernelDefOrBuilder: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
getLabelBytes() - 类中的方法tensorflow.serving.Classification.Class.Builder: Label or name of the class.
getLabelBytes() - 类中的方法tensorflow.serving.Classification.Class: Label or name of the class.
getLabelBytes() - 接口中的方法tensorflow.serving.Classification.ClassOrBuilder: Label or name of the class.
getLastModified() - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: The timestamp at which the source code file is last modified.
getLastModified() - 类中的方法org.tensorflow.framework.DebuggedSourceFile: The timestamp at which the source code file is last modified.
getLastModified() - 接口中的方法org.tensorflow.framework.DebuggedSourceFileOrBuilder: The timestamp at which the source code file is last modified.
getLatest() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest latest = 100;
getLatest() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest latest = 100;
getLatest() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicyOrBuilder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest latest = 100;
getLatestBuilder() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest latest = 100;
getLatestOrBuilder() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest latest = 100;
getLatestOrBuilder() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest latest = 100;
getLatestOrBuilder() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicyOrBuilder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest latest = 100;
getLayoutOptimizer() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Optimize tensor layouts (default is ON) e.g.
getLayoutOptimizer() - 类中的方法org.tensorflow.framework.RewriterConfig: Optimize tensor layouts (default is ON) e.g.
getLayoutOptimizer() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Optimize tensor layouts (default is ON) e.g.
getLayoutOptimizerValue() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Optimize tensor layouts (default is ON) e.g.
getLayoutOptimizerValue() - 类中的方法org.tensorflow.framework.RewriterConfig: Optimize tensor layouts (default is ON) e.g.
getLayoutOptimizerValue() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Optimize tensor layouts (default is ON) e.g.
getLength() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder: int64 length = 2;
getLength() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent: int64 length = 2;
getLength() - 接口中的方法org.tensorflow.framework.TensorSliceProto.ExtentOrBuilder: int64 length = 2;
getLengthFrames() - 类中的方法org.tensorflow.framework.Summary.Audio.Builder: Length of the audio in frames (samples per channel).
getLengthFrames() - 类中的方法org.tensorflow.framework.Summary.Audio: Length of the audio in frames (samples per channel).
getLengthFrames() - 接口中的方法org.tensorflow.framework.Summary.AudioOrBuilder: Length of the audio in frames (samples per channel).
getLibrary() - 类中的方法org.tensorflow.framework.GraphDef.Builder: EXPERIMENTAL.
getLibrary() - 类中的方法org.tensorflow.framework.GraphDef: EXPERIMENTAL.
getLibrary() - 接口中的方法org.tensorflow.framework.GraphDefOrBuilder: EXPERIMENTAL.
getLibraryBuilder() - 类中的方法org.tensorflow.framework.GraphDef.Builder: EXPERIMENTAL.
getLibraryOrBuilder() - 类中的方法org.tensorflow.framework.GraphDef.Builder: EXPERIMENTAL.
getLibraryOrBuilder() - 类中的方法org.tensorflow.framework.GraphDef: EXPERIMENTAL.
getLibraryOrBuilder() - 接口中的方法org.tensorflow.framework.GraphDefOrBuilder: EXPERIMENTAL.
getLines(int) - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
getLines(int) - 类中的方法org.tensorflow.framework.DebuggedSourceFile: Line-by-line content of the source code file.
getLines(int) - 接口中的方法org.tensorflow.framework.DebuggedSourceFileOrBuilder: Line-by-line content of the source code file.
getLinesBytes(int) - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
getLinesBytes(int) - 类中的方法org.tensorflow.framework.DebuggedSourceFile: Line-by-line content of the source code file.
getLinesBytes(int) - 接口中的方法org.tensorflow.framework.DebuggedSourceFileOrBuilder: Line-by-line content of the source code file.
getLinesCount() - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
getLinesCount() - 类中的方法org.tensorflow.framework.DebuggedSourceFile: Line-by-line content of the source code file.
getLinesCount() - 接口中的方法org.tensorflow.framework.DebuggedSourceFileOrBuilder: Line-by-line content of the source code file.
getLinesList() - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
getLinesList() - 类中的方法org.tensorflow.framework.DebuggedSourceFile: Line-by-line content of the source code file.
getLinesList() - 接口中的方法org.tensorflow.framework.DebuggedSourceFileOrBuilder: Line-by-line content of the source code file.
getLink(int) - 类中的方法org.tensorflow.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
getLink(int) - 类中的方法org.tensorflow.framework.LocalLinks: repeated .tensorflow.InterconnectLink link = 1;
getLink(int) - 接口中的方法org.tensorflow.framework.LocalLinksOrBuilder: repeated .tensorflow.InterconnectLink link = 1;
getLinkBuilder(int) - 类中的方法org.tensorflow.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
getLinkBuilderList() - 类中的方法org.tensorflow.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
getLinkCount() - 类中的方法org.tensorflow.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
getLinkCount() - 类中的方法org.tensorflow.framework.LocalLinks: repeated .tensorflow.InterconnectLink link = 1;
getLinkCount() - 接口中的方法org.tensorflow.framework.LocalLinksOrBuilder: repeated .tensorflow.InterconnectLink link = 1;
getLinkList() - 类中的方法org.tensorflow.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
getLinkList() - 类中的方法org.tensorflow.framework.LocalLinks: repeated .tensorflow.InterconnectLink link = 1;
getLinkList() - 接口中的方法org.tensorflow.framework.LocalLinksOrBuilder: repeated .tensorflow.InterconnectLink link = 1;
getLinkOrBuilder(int) - 类中的方法org.tensorflow.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
getLinkOrBuilder(int) - 类中的方法org.tensorflow.framework.LocalLinks: repeated .tensorflow.InterconnectLink link = 1;
getLinkOrBuilder(int) - 接口中的方法org.tensorflow.framework.LocalLinksOrBuilder: repeated .tensorflow.InterconnectLink link = 1;
getLinkOrBuilderList() - 类中的方法org.tensorflow.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
getLinkOrBuilderList() - 类中的方法org.tensorflow.framework.LocalLinks: repeated .tensorflow.InterconnectLink link = 1;
getLinkOrBuilderList() - 接口中的方法org.tensorflow.framework.LocalLinksOrBuilder: repeated .tensorflow.InterconnectLink link = 1;
getLinks() - 类中的方法org.tensorflow.framework.DeviceLocality.Builder: Optional local interconnect links to other devices.
getLinks() - 类中的方法org.tensorflow.framework.DeviceLocality: Optional local interconnect links to other devices.
getLinks() - 接口中的方法org.tensorflow.framework.DeviceLocalityOrBuilder: Optional local interconnect links to other devices.
getLinksBuilder() - 类中的方法org.tensorflow.framework.DeviceLocality.Builder: Optional local interconnect links to other devices.
getLinksOrBuilder() - 类中的方法org.tensorflow.framework.DeviceLocality.Builder: Optional local interconnect links to other devices.
getLinksOrBuilder() - 类中的方法org.tensorflow.framework.DeviceLocality: Optional local interconnect links to other devices.
getLinksOrBuilder() - 接口中的方法org.tensorflow.framework.DeviceLocalityOrBuilder: Optional local interconnect links to other devices.
getList() - 类中的方法org.tensorflow.framework.AttrValue.Builder: any "list(...)"
getList() - 类中的方法org.tensorflow.framework.AttrValue: any "list(...)"
getList() - 接口中的方法org.tensorflow.framework.AttrValueOrBuilder: any "list(...)"
getListBuilder() - 类中的方法org.tensorflow.framework.AttrValue.Builder: any "list(...)"
getListDevicesMethod() - 类中的静态方法org.tensorflow.distruntime.MasterServiceGrpc
getListOrBuilder() - 类中的方法org.tensorflow.framework.AttrValue.Builder: any "list(...)"
getListOrBuilder() - 类中的方法org.tensorflow.framework.AttrValue: any "list(...)"
getListOrBuilder() - 接口中的方法org.tensorflow.framework.AttrValueOrBuilder: any "list(...)"
getLiveBytes() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: The bytes that are not deallocated.
getLiveBytes() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed: The bytes that are not deallocated.
getLiveBytes() - 接口中的方法org.tensorflow.framework.AllocatorMemoryUsedOrBuilder: The bytes that are not deallocated.
getLocalDevice(int) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes local_device = 1;
getLocalDevice(int) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse: repeated .tensorflow.DeviceAttributes local_device = 1;
getLocalDevice(int) - 接口中的方法org.tensorflow.distruntime.ListDevicesResponseOrBuilder: repeated .tensorflow.DeviceAttributes local_device = 1;
getLocalDeviceBuilder(int) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes local_device = 1;
getLocalDeviceBuilderList() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes local_device = 1;
getLocalDeviceCount() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes local_device = 1;
getLocalDeviceCount() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse: repeated .tensorflow.DeviceAttributes local_device = 1;
getLocalDeviceCount() - 接口中的方法org.tensorflow.distruntime.ListDevicesResponseOrBuilder: repeated .tensorflow.DeviceAttributes local_device = 1;
getLocalDeviceList() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes local_device = 1;
getLocalDeviceList() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse: repeated .tensorflow.DeviceAttributes local_device = 1;
getLocalDeviceList() - 接口中的方法org.tensorflow.distruntime.ListDevicesResponseOrBuilder: repeated .tensorflow.DeviceAttributes local_device = 1;
getLocalDeviceOrBuilder(int) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes local_device = 1;
getLocalDeviceOrBuilder(int) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse: repeated .tensorflow.DeviceAttributes local_device = 1;
getLocalDeviceOrBuilder(int) - 接口中的方法org.tensorflow.distruntime.ListDevicesResponseOrBuilder: repeated .tensorflow.DeviceAttributes local_device = 1;
getLocalDeviceOrBuilderList() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes local_device = 1;
getLocalDeviceOrBuilderList() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse: repeated .tensorflow.DeviceAttributes local_device = 1;
getLocalDeviceOrBuilderList() - 接口中的方法org.tensorflow.distruntime.ListDevicesResponseOrBuilder: repeated .tensorflow.DeviceAttributes local_device = 1;
getLocality() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
getLocality() - 类中的方法org.tensorflow.framework.DeviceAttributes: Platform-specific data about device that may be useful for supporting efficient data transfers.
getLocality() - 接口中的方法org.tensorflow.framework.DeviceAttributesOrBuilder: Platform-specific data about device that may be useful for supporting efficient data transfers.
getLocalityBuilder() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
getLocalityOrBuilder() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
getLocalityOrBuilder() - 类中的方法org.tensorflow.framework.DeviceAttributes: Platform-specific data about device that may be useful for supporting efficient data transfers.
getLocalityOrBuilder() - 接口中的方法org.tensorflow.framework.DeviceAttributesOrBuilder: Platform-specific data about device that may be useful for supporting efficient data transfers.
getLocalName() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder: A user-provided name for the edge.
getLocalName() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference: A user-provided name for the edge.
getLocalName() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReferenceOrBuilder: A user-provided name for the edge.
getLocalNameBytes() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder: A user-provided name for the edge.
getLocalNameBytes() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference: A user-provided name for the edge.
getLocalNameBytes() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReferenceOrBuilder: A user-provided name for the edge.
getLogCollectorConfig() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder: .tensorflow.serving.LogCollectorConfig log_collector_config = 1;
getLogCollectorConfig() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig: .tensorflow.serving.LogCollectorConfig log_collector_config = 1;
getLogCollectorConfig() - 接口中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfigOrBuilder: .tensorflow.serving.LogCollectorConfig log_collector_config = 1;
getLogCollectorConfigBuilder() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder: .tensorflow.serving.LogCollectorConfig log_collector_config = 1;
getLogCollectorConfigOrBuilder() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder: .tensorflow.serving.LogCollectorConfig log_collector_config = 1;
getLogCollectorConfigOrBuilder() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig: .tensorflow.serving.LogCollectorConfig log_collector_config = 1;
getLogCollectorConfigOrBuilder() - 接口中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfigOrBuilder: .tensorflow.serving.LogCollectorConfig log_collector_config = 1;
getLogDevicePlacement() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Whether device placements should be logged.
getLogDevicePlacement() - 类中的方法org.tensorflow.framework.ConfigProto: Whether device placements should be logged.
getLogDevicePlacement() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: Whether device placements should be logged.
getLoggingConfig() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Configures logging requests and responses, to the model.
getLoggingConfig() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig: Configures logging requests and responses, to the model.
getLoggingConfig() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder: Configures logging requests and responses, to the model.
getLoggingConfigBuilder() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Configures logging requests and responses, to the model.
getLoggingConfigOrBuilder() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Configures logging requests and responses, to the model.
getLoggingConfigOrBuilder() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig: Configures logging requests and responses, to the model.
getLoggingConfigOrBuilder() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder: Configures logging requests and responses, to the model.
getLoggingMethod() - 类中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
getLogMetadata() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.LogMetadata log_metadata = 1;
getLogMetadata() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog: .tensorflow.serving.LogMetadata log_metadata = 1;
getLogMetadata() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder: .tensorflow.serving.LogMetadata log_metadata = 1;
getLogMetadataBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.LogMetadata log_metadata = 1;
getLogMetadataOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.LogMetadata log_metadata = 1;
getLogMetadataOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog: .tensorflow.serving.LogMetadata log_metadata = 1;
getLogMetadataOrBuilder() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder: .tensorflow.serving.LogMetadata log_metadata = 1;
getLogTypeCase() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
getLogTypeCase() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
getLogTypeCase() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder
getLoopEnterNames(int) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: List of names for enter tensors.
getLoopEnterNames(int) - 类中的方法org.tensorflow.framework.WhileContextDef: List of names for enter tensors.
getLoopEnterNames(int) - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: List of names for enter tensors.
getLoopEnterNamesBytes(int) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: List of names for enter tensors.
getLoopEnterNamesBytes(int) - 类中的方法org.tensorflow.framework.WhileContextDef: List of names for enter tensors.
getLoopEnterNamesBytes(int) - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: List of names for enter tensors.
getLoopEnterNamesCount() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: List of names for enter tensors.
getLoopEnterNamesCount() - 类中的方法org.tensorflow.framework.WhileContextDef: List of names for enter tensors.
getLoopEnterNamesCount() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: List of names for enter tensors.
getLoopEnterNamesList() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: List of names for enter tensors.
getLoopEnterNamesList() - 类中的方法org.tensorflow.framework.WhileContextDef: List of names for enter tensors.
getLoopEnterNamesList() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: List of names for enter tensors.
getLoopExitNames(int) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: List of names for exit tensors.
getLoopExitNames(int) - 类中的方法org.tensorflow.framework.WhileContextDef: List of names for exit tensors.
getLoopExitNames(int) - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: List of names for exit tensors.
getLoopExitNamesBytes(int) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: List of names for exit tensors.
getLoopExitNamesBytes(int) - 类中的方法org.tensorflow.framework.WhileContextDef: List of names for exit tensors.
getLoopExitNamesBytes(int) - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: List of names for exit tensors.
getLoopExitNamesCount() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: List of names for exit tensors.
getLoopExitNamesCount() - 类中的方法org.tensorflow.framework.WhileContextDef: List of names for exit tensors.
getLoopExitNamesCount() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: List of names for exit tensors.
getLoopExitNamesList() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: List of names for exit tensors.
getLoopExitNamesList() - 类中的方法org.tensorflow.framework.WhileContextDef: List of names for exit tensors.
getLoopExitNamesList() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: List of names for exit tensors.
getLoopOptimization() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Loop optimizations (default is ON).
getLoopOptimization() - 类中的方法org.tensorflow.framework.RewriterConfig: Loop optimizations (default is ON).
getLoopOptimization() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Loop optimizations (default is ON).
getLoopOptimizationValue() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Loop optimizations (default is ON).
getLoopOptimizationValue() - 类中的方法org.tensorflow.framework.RewriterConfig: Loop optimizations (default is ON).
getLoopOptimizationValue() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Loop optimizations (default is ON).
getMakeCallableMethod() - 类中的静态方法org.tensorflow.distruntime.MasterServiceGrpc
getMax() - 类中的方法org.tensorflow.framework.HistogramProto.Builder: double max = 2;
getMax() - 类中的方法org.tensorflow.framework.HistogramProto: double max = 2;
getMax() - 接口中的方法org.tensorflow.framework.HistogramProtoOrBuilder: double max = 2;
getMaxByteSize(int) - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder: repeated int32 max_byte_size = 2;
getMaxByteSize(int) - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo: repeated int32 max_byte_size = 2;
getMaxByteSize(int) - 接口中的方法org.tensorflow.framework.GraphTransferNodeOutputInfoOrBuilder: repeated int32 max_byte_size = 2;
getMaxByteSizeCount() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder: repeated int32 max_byte_size = 2;
getMaxByteSizeCount() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo: repeated int32 max_byte_size = 2;
getMaxByteSizeCount() - 接口中的方法org.tensorflow.framework.GraphTransferNodeOutputInfoOrBuilder: repeated int32 max_byte_size = 2;
getMaxByteSizeList() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder: repeated int32 max_byte_size = 2;
getMaxByteSizeList() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo: repeated int32 max_byte_size = 2;
getMaxByteSizeList() - 接口中的方法org.tensorflow.framework.GraphTransferNodeOutputInfoOrBuilder: repeated int32 max_byte_size = 2;
getMaxFoldedConstantInBytes() - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder: Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
getMaxFoldedConstantInBytes() - 类中的方法org.tensorflow.framework.OptimizerOptions: Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
getMaxFoldedConstantInBytes() - 接口中的方法org.tensorflow.framework.OptimizerOptionsOrBuilder: Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
getMaximumIterationsName() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Optional name of the maximum_iterations tensor.
getMaximumIterationsName() - 类中的方法org.tensorflow.framework.WhileContextDef: Optional name of the maximum_iterations tensor.
getMaximumIterationsName() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: Optional name of the maximum_iterations tensor.
getMaximumIterationsNameBytes() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Optional name of the maximum_iterations tensor.
getMaximumIterationsNameBytes() - 类中的方法org.tensorflow.framework.WhileContextDef: Optional name of the maximum_iterations tensor.
getMaximumIterationsNameBytes() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: Optional name of the maximum_iterations tensor.
getMaxToKeep() - 类中的方法org.tensorflow.util.SaverDef.Builder: Maximum number of checkpoints to keep.
getMaxToKeep() - 类中的方法org.tensorflow.util.SaverDef: Maximum number of checkpoints to keep.
getMaxToKeep() - 接口中的方法org.tensorflow.util.SaverDefOrBuilder: Maximum number of checkpoints to keep.
getMaybeTypeName() - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: For debug-only, the name of the type pointed to by this handle, if available.
getMaybeTypeName() - 类中的方法org.tensorflow.framework.ResourceHandleProto: For debug-only, the name of the type pointed to by this handle, if available.
getMaybeTypeName() - 接口中的方法org.tensorflow.framework.ResourceHandleProtoOrBuilder: For debug-only, the name of the type pointed to by this handle, if available.
getMaybeTypeNameBytes() - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: For debug-only, the name of the type pointed to by this handle, if available.
getMaybeTypeNameBytes() - 类中的方法org.tensorflow.framework.ResourceHandleProto: For debug-only, the name of the type pointed to by this handle, if available.
getMaybeTypeNameBytes() - 接口中的方法org.tensorflow.framework.ResourceHandleProtoOrBuilder: For debug-only, the name of the type pointed to by this handle, if available.
getMemory(int) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemory(int) - 类中的方法org.tensorflow.framework.NodeExecStats: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemory(int) - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryBuilder(int) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryBuilderList() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryCount() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryCount() - 类中的方法org.tensorflow.framework.NodeExecStats: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryCount() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryLimit() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: Memory capacity of device in bytes.
getMemoryLimit() - 类中的方法org.tensorflow.framework.DeviceAttributes: Memory capacity of device in bytes.
getMemoryLimit() - 接口中的方法org.tensorflow.framework.DeviceAttributesOrBuilder: Memory capacity of device in bytes.
getMemoryLimitMb(int) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder: Per "virtual" device memory limit, in MB.
getMemoryLimitMb(int) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices: Per "virtual" device memory limit, in MB.
getMemoryLimitMb(int) - 接口中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevicesOrBuilder: Per "virtual" device memory limit, in MB.
getMemoryLimitMbCount() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder: Per "virtual" device memory limit, in MB.
getMemoryLimitMbCount() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices: Per "virtual" device memory limit, in MB.
getMemoryLimitMbCount() - 接口中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevicesOrBuilder: Per "virtual" device memory limit, in MB.
getMemoryLimitMbList() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder: Per "virtual" device memory limit, in MB.
getMemoryLimitMbList() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices: Per "virtual" device memory limit, in MB.
getMemoryLimitMbList() - 接口中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevicesOrBuilder: Per "virtual" device memory limit, in MB.
getMemoryList() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryList() - 类中的方法org.tensorflow.framework.NodeExecStats: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryList() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryOptimization() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Configures memory optimization passes through the meta-optimizer.
getMemoryOptimization() - 类中的方法org.tensorflow.framework.RewriterConfig: Configures memory optimization passes through the meta-optimizer.
getMemoryOptimization() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Configures memory optimization passes through the meta-optimizer.
getMemoryOptimizationValue() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Configures memory optimization passes through the meta-optimizer.
getMemoryOptimizationValue() - 类中的方法org.tensorflow.framework.RewriterConfig: Configures memory optimization passes through the meta-optimizer.
getMemoryOptimizationValue() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Configures memory optimization passes through the meta-optimizer.
getMemoryOptimizerTargetNodeNameScope() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: A node name scope for node names which are valid outputs of recompuations.
getMemoryOptimizerTargetNodeNameScope() - 类中的方法org.tensorflow.framework.RewriterConfig: A node name scope for node names which are valid outputs of recompuations.
getMemoryOptimizerTargetNodeNameScope() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: A node name scope for node names which are valid outputs of recompuations.
getMemoryOptimizerTargetNodeNameScopeBytes() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: A node name scope for node names which are valid outputs of recompuations.
getMemoryOptimizerTargetNodeNameScopeBytes() - 类中的方法org.tensorflow.framework.RewriterConfig: A node name scope for node names which are valid outputs of recompuations.
getMemoryOptimizerTargetNodeNameScopeBytes() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: A node name scope for node names which are valid outputs of recompuations.
getMemoryOrBuilder(int) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryOrBuilder(int) - 类中的方法org.tensorflow.framework.NodeExecStats: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryOrBuilder(int) - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryOrBuilderList() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryOrBuilderList() - 类中的方法org.tensorflow.framework.NodeExecStats: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryOrBuilderList() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemorySize() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Memory size in bytes int64 memory_size = 12;
getMemorySize() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties: Memory size in bytes int64 memory_size = 12;
getMemorySize() - 接口中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder: Memory size in bytes int64 memory_size = 12;
getMemoryStats() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
getMemoryStats() - 类中的方法org.tensorflow.framework.NodeExecStats: .tensorflow.MemoryStats memory_stats = 12;
getMemoryStats() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: .tensorflow.MemoryStats memory_stats = 12;
getMemoryStatsBuilder() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
getMemoryStatsOrBuilder() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
getMemoryStatsOrBuilder() - 类中的方法org.tensorflow.framework.NodeExecStats: .tensorflow.MemoryStats memory_stats = 12;
getMemoryStatsOrBuilder() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: .tensorflow.MemoryStats memory_stats = 12;
getMemoryTime() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Analytical estimate of the memory access cost of this node, in microseconds.
getMemoryTime() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: Analytical estimate of the memory access cost of this node, in microseconds.
getMemoryTime() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: Analytical estimate of the memory access cost of this node, in microseconds.
getMetadata() - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Returned metadata if requested in the options.
getMetadata() - 类中的方法org.tensorflow.distruntime.RunCallableResponse: Returned metadata if requested in the options.
getMetadata() - 接口中的方法org.tensorflow.distruntime.RunCallableResponseOrBuilder: Returned metadata if requested in the options.
getMetadata() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: Returned metadata if requested in the options.
getMetadata() - 类中的方法org.tensorflow.distruntime.RunStepResponse: Returned metadata if requested in the options.
getMetadata() - 接口中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder: Returned metadata if requested in the options.
getMetadata() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
getMetadata() - 类中的方法org.tensorflow.framework.Summary.Value: Contains metadata on the summary value such as which plugins may use it.
getMetadata() - 接口中的方法org.tensorflow.framework.Summary.ValueOrBuilder: Contains metadata on the summary value such as which plugins may use it.
getMetadata() - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Portions of the object that are not Tensors.
getMetadata() - 类中的方法org.tensorflow.framework.VariantTensorDataProto: Portions of the object that are not Tensors.
getMetadata() - 接口中的方法org.tensorflow.framework.VariantTensorDataProtoOrBuilder: Portions of the object that are not Tensors.
getMetadata() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder: 已过时。
getMetadata() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse: 已过时。
getMetadata() - 接口中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponseOrBuilder: 已过时。
getMetadata() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: Returned metadata if requested in the options.
getMetadata() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse: Returned metadata if requested in the options.
getMetadata() - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponseOrBuilder: Returned metadata if requested in the options.
getMetadataBuilder() - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Returned metadata if requested in the options.
getMetadataBuilder() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: Returned metadata if requested in the options.
getMetadataBuilder() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
getMetadataBuilder() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: Returned metadata if requested in the options.
getMetadataCount() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
getMetadataCount() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
getMetadataCount() - 接口中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponseOrBuilder: Map of metadata field name to metadata field.
getMetadataField(int) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder: Metadata fields to get.
getMetadataField(int) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest: Metadata fields to get.
getMetadataField(int) - 接口中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequestOrBuilder: Metadata fields to get.
getMetadataFieldBytes(int) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder: Metadata fields to get.
getMetadataFieldBytes(int) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest: Metadata fields to get.
getMetadataFieldBytes(int) - 接口中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequestOrBuilder: Metadata fields to get.
getMetadataFieldCount() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder: Metadata fields to get.
getMetadataFieldCount() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest: Metadata fields to get.
getMetadataFieldCount() - 接口中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequestOrBuilder: Metadata fields to get.
getMetadataFieldList() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder: Metadata fields to get.
getMetadataFieldList() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest: Metadata fields to get.
getMetadataFieldList() - 接口中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequestOrBuilder: Metadata fields to get.
getMetadataMap() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder: Map of metadata field name to metadata field.
getMetadataMap() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse: Map of metadata field name to metadata field.
getMetadataMap() - 接口中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponseOrBuilder: Map of metadata field name to metadata field.
getMetadataOrBuilder() - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Returned metadata if requested in the options.
getMetadataOrBuilder() - 类中的方法org.tensorflow.distruntime.RunCallableResponse: Returned metadata if requested in the options.
getMetadataOrBuilder() - 接口中的方法org.tensorflow.distruntime.RunCallableResponseOrBuilder: Returned metadata if requested in the options.
getMetadataOrBuilder() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: Returned metadata if requested in the options.
getMetadataOrBuilder() - 类中的方法org.tensorflow.distruntime.RunStepResponse: Returned metadata if requested in the options.
getMetadataOrBuilder() - 接口中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder: Returned metadata if requested in the options.
getMetadataOrBuilder() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
getMetadataOrBuilder() - 类中的方法org.tensorflow.framework.Summary.Value: Contains metadata on the summary value such as which plugins may use it.
getMetadataOrBuilder() - 接口中的方法org.tensorflow.framework.Summary.ValueOrBuilder: Contains metadata on the summary value such as which plugins may use it.
getMetadataOrBuilder() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: Returned metadata if requested in the options.
getMetadataOrBuilder() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse: Returned metadata if requested in the options.
getMetadataOrBuilder() - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponseOrBuilder: Returned metadata if requested in the options.
getMetadataOrDefault(String, Any) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder: Map of metadata field name to metadata field.
getMetadataOrDefault(String, Any) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse: Map of metadata field name to metadata field.
getMetadataOrDefault(String, Any) - 接口中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponseOrBuilder: Map of metadata field name to metadata field.
getMetadataOrThrow(String) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder: Map of metadata field name to metadata field.
getMetadataOrThrow(String) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse: Map of metadata field name to metadata field.
getMetadataOrThrow(String) - 接口中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponseOrBuilder: Map of metadata field name to metadata field.
getMetaGraphs(int) - 类中的方法org.tensorflow.framework.SavedModel.Builder: One or more MetaGraphs.
getMetaGraphs(int) - 类中的方法org.tensorflow.framework.SavedModel: One or more MetaGraphs.
getMetaGraphs(int) - 接口中的方法org.tensorflow.framework.SavedModelOrBuilder: One or more MetaGraphs.
getMetaGraphsBuilder(int) - 类中的方法org.tensorflow.framework.SavedModel.Builder: One or more MetaGraphs.
getMetaGraphsBuilderList() - 类中的方法org.tensorflow.framework.SavedModel.Builder: One or more MetaGraphs.
getMetaGraphsCount() - 类中的方法org.tensorflow.framework.SavedModel.Builder: One or more MetaGraphs.
getMetaGraphsCount() - 类中的方法org.tensorflow.framework.SavedModel: One or more MetaGraphs.
getMetaGraphsCount() - 接口中的方法org.tensorflow.framework.SavedModelOrBuilder: One or more MetaGraphs.
getMetaGraphsList() - 类中的方法org.tensorflow.framework.SavedModel.Builder: One or more MetaGraphs.
getMetaGraphsList() - 类中的方法org.tensorflow.framework.SavedModel: One or more MetaGraphs.
getMetaGraphsList() - 接口中的方法org.tensorflow.framework.SavedModelOrBuilder: One or more MetaGraphs.
getMetaGraphsOrBuilder(int) - 类中的方法org.tensorflow.framework.SavedModel.Builder: One or more MetaGraphs.
getMetaGraphsOrBuilder(int) - 类中的方法org.tensorflow.framework.SavedModel: One or more MetaGraphs.
getMetaGraphsOrBuilder(int) - 接口中的方法org.tensorflow.framework.SavedModelOrBuilder: One or more MetaGraphs.
getMetaGraphsOrBuilderList() - 类中的方法org.tensorflow.framework.SavedModel.Builder: One or more MetaGraphs.
getMetaGraphsOrBuilderList() - 类中的方法org.tensorflow.framework.SavedModel: One or more MetaGraphs.
getMetaGraphsOrBuilderList() - 接口中的方法org.tensorflow.framework.SavedModelOrBuilder: One or more MetaGraphs.
getMetaGraphVersion() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: User specified Version string.
getMetaGraphVersion() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef: User specified Version string.
getMetaGraphVersion() - 接口中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder: User specified Version string.
getMetaGraphVersionBytes() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: User specified Version string.
getMetaGraphVersionBytes() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef: User specified Version string.
getMetaGraphVersionBytes() - 接口中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder: User specified Version string.
getMetaInfoDef() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
getMetaInfoDef() - 类中的方法org.tensorflow.framework.MetaGraphDef: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
getMetaInfoDef() - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
getMetaInfoDefBuilder() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
getMetaInfoDefOrBuilder() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
getMetaInfoDefOrBuilder() - 类中的方法org.tensorflow.framework.MetaGraphDef: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
getMetaInfoDefOrBuilder() - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
getMetaOptimizerIterations() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Controls how many times we run the optimizers in meta optimizer (default is once).
getMetaOptimizerIterations() - 类中的方法org.tensorflow.framework.RewriterConfig: Controls how many times we run the optimizers in meta optimizer (default is once).
getMetaOptimizerIterations() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Controls how many times we run the optimizers in meta optimizer (default is once).
getMetaOptimizerIterationsValue() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Controls how many times we run the optimizers in meta optimizer (default is once).
getMetaOptimizerIterationsValue() - 类中的方法org.tensorflow.framework.RewriterConfig: Controls how many times we run the optimizers in meta optimizer (default is once).
getMetaOptimizerIterationsValue() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Controls how many times we run the optimizers in meta optimizer (default is once).
getMethodName() - 类中的方法org.tensorflow.framework.SignatureDef.Builder: Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.
getMethodName() - 类中的方法org.tensorflow.framework.SignatureDef: Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.
getMethodName() - 接口中的方法org.tensorflow.framework.SignatureDefOrBuilder: Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.
getMethodName() - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder: Signature's method_name.
getMethodName() - 类中的方法tensorflow.serving.Inference.InferenceTask: Signature's method_name.
getMethodName() - 接口中的方法tensorflow.serving.Inference.InferenceTaskOrBuilder: Signature's method_name.
getMethodNameBytes() - 类中的方法org.tensorflow.framework.SignatureDef.Builder: Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.
getMethodNameBytes() - 类中的方法org.tensorflow.framework.SignatureDef: Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.
getMethodNameBytes() - 接口中的方法org.tensorflow.framework.SignatureDefOrBuilder: Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.
getMethodNameBytes() - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder: Signature's method_name.
getMethodNameBytes() - 类中的方法tensorflow.serving.Inference.InferenceTask: Signature's method_name.
getMethodNameBytes() - 接口中的方法tensorflow.serving.Inference.InferenceTaskOrBuilder: Signature's method_name.
getMin() - 类中的方法org.tensorflow.framework.HistogramProto.Builder: double min = 1;
getMin() - 类中的方法org.tensorflow.framework.HistogramProto: double min = 1;
getMin() - 接口中的方法org.tensorflow.framework.HistogramProtoOrBuilder: double min = 1;
getMinConsumer() - 类中的方法org.tensorflow.framework.VersionDef.Builder: Any consumer below this version is not allowed to consume this data.
getMinConsumer() - 类中的方法org.tensorflow.framework.VersionDef: Any consumer below this version is not allowed to consume this data.
getMinConsumer() - 接口中的方法org.tensorflow.framework.VersionDefOrBuilder: Any consumer below this version is not allowed to consume this data.
getMinGraphNodes() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: The minimum number of nodes in a graph to optimizer.
getMinGraphNodes() - 类中的方法org.tensorflow.framework.RewriterConfig: The minimum number of nodes in a graph to optimizer.
getMinGraphNodes() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: The minimum number of nodes in a graph to optimizer.
getMinimum() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: int64 minimum = 6;
getMinimum() - 类中的方法org.tensorflow.framework.OpDef.AttrDef: int64 minimum = 6;
getMinimum() - 接口中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder: int64 minimum = 6;
getModel() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Model (Haswell, K40, ...)
getModel() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties: Model (Haswell, K40, ...)
getModel() - 接口中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder: Model (Haswell, K40, ...)
getModelBytes() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Model (Haswell, K40, ...)
getModelBytes() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties: Model (Haswell, K40, ...)
getModelBytes() - 接口中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder: Model (Haswell, K40, ...)
getModelConfigList() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder: .tensorflow.serving.ModelConfigList model_config_list = 1;
getModelConfigList() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig: .tensorflow.serving.ModelConfigList model_config_list = 1;
getModelConfigList() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfigOrBuilder: .tensorflow.serving.ModelConfigList model_config_list = 1;
getModelConfigListBuilder() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder: .tensorflow.serving.ModelConfigList model_config_list = 1;
getModelConfigListOrBuilder() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder: .tensorflow.serving.ModelConfigList model_config_list = 1;
getModelConfigListOrBuilder() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig: .tensorflow.serving.ModelConfigList model_config_list = 1;
getModelConfigListOrBuilder() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfigOrBuilder: .tensorflow.serving.ModelConfigList model_config_list = 1;
GetModelMetadata - tensorflow.serving中的类
getModelMetadata(GetModelMetadata.GetModelMetadataRequest) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceBlockingStub: GetModelMetadata - provides access to metadata for loaded models.
getModelMetadata(GetModelMetadata.GetModelMetadataRequest) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceFutureStub: GetModelMetadata - provides access to metadata for loaded models.
getModelMetadata(GetModelMetadata.GetModelMetadataRequest, StreamObserver<GetModelMetadata.GetModelMetadataResponse>) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceImplBase: GetModelMetadata - provides access to metadata for loaded models.
getModelMetadata(GetModelMetadata.GetModelMetadataRequest, StreamObserver<GetModelMetadata.GetModelMetadataResponse>) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceStub: GetModelMetadata - provides access to metadata for loaded models.
GetModelMetadata.GetModelMetadataRequest - tensorflow.serving中的类: Protobuf type tensorflow.serving.GetModelMetadataRequest
GetModelMetadata.GetModelMetadataRequest.Builder - tensorflow.serving中的类: Protobuf type tensorflow.serving.GetModelMetadataRequest
GetModelMetadata.GetModelMetadataRequestOrBuilder - tensorflow.serving中的接口
GetModelMetadata.GetModelMetadataResponse - tensorflow.serving中的类: Protobuf type tensorflow.serving.GetModelMetadataResponse
GetModelMetadata.GetModelMetadataResponse.Builder - tensorflow.serving中的类: Protobuf type tensorflow.serving.GetModelMetadataResponse
GetModelMetadata.GetModelMetadataResponseOrBuilder - tensorflow.serving中的接口
GetModelMetadata.SignatureDefMap - tensorflow.serving中的类: Message returned for "signature_def" field.
GetModelMetadata.SignatureDefMap.Builder - tensorflow.serving中的类: Message returned for "signature_def" field.
GetModelMetadata.SignatureDefMapOrBuilder - tensorflow.serving中的接口
getModelPlatform() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Type of model (e.g.
getModelPlatform() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig: Type of model (e.g.
getModelPlatform() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder: Type of model (e.g.
getModelPlatformBytes() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Type of model (e.g.
getModelPlatformBytes() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig: Type of model (e.g.
getModelPlatformBytes() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder: Type of model (e.g.
getModelSpec() - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder: Model Specification.
getModelSpec() - 类中的方法tensorflow.serving.Classification.ClassificationRequest: Model Specification.
getModelSpec() - 接口中的方法tensorflow.serving.Classification.ClassificationRequestOrBuilder: Model Specification.
getModelSpec() - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder: Effective Model Specification used for classification.
getModelSpec() - 类中的方法tensorflow.serving.Classification.ClassificationResponse: Effective Model Specification used for classification.
getModelSpec() - 接口中的方法tensorflow.serving.Classification.ClassificationResponseOrBuilder: Effective Model Specification used for classification.
getModelSpec() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder: Model Specification indicating which model we are querying for metadata.
getModelSpec() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest: Model Specification indicating which model we are querying for metadata.
getModelSpec() - 接口中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequestOrBuilder: Model Specification indicating which model we are querying for metadata.
getModelSpec() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder: Model Specification indicating which model this metadata belongs to.
getModelSpec() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse: Model Specification indicating which model this metadata belongs to.
getModelSpec() - 接口中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponseOrBuilder: Model Specification indicating which model this metadata belongs to.
getModelSpec() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder: Model Specification.
getModelSpec() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest: Model Specification.
getModelSpec() - 接口中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequestOrBuilder: Model Specification.
getModelSpec() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.ModelSpec model_spec = 1;
getModelSpec() - 类中的方法tensorflow.serving.Inference.InferenceResult: .tensorflow.serving.ModelSpec model_spec = 1;
getModelSpec() - 接口中的方法tensorflow.serving.Inference.InferenceResultOrBuilder: .tensorflow.serving.ModelSpec model_spec = 1;
getModelSpec() - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder: Model Specification.
getModelSpec() - 类中的方法tensorflow.serving.Inference.InferenceTask: Model Specification.
getModelSpec() - 接口中的方法tensorflow.serving.Inference.InferenceTaskOrBuilder: Model Specification.
getModelSpec() - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder: .tensorflow.serving.ModelSpec model_spec = 1;
getModelSpec() - 类中的方法tensorflow.serving.Logging.LogMetadata: .tensorflow.serving.ModelSpec model_spec = 1;
getModelSpec() - 接口中的方法tensorflow.serving.Logging.LogMetadataOrBuilder: .tensorflow.serving.ModelSpec model_spec = 1;
getModelSpec() - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Model Specification.
getModelSpec() - 类中的方法tensorflow.serving.Predict.PredictRequest: Model Specification.
getModelSpec() - 接口中的方法tensorflow.serving.Predict.PredictRequestOrBuilder: Model Specification.
getModelSpec() - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder: Effective Model Specification used to process PredictRequest.
getModelSpec() - 类中的方法tensorflow.serving.Predict.PredictResponse: Effective Model Specification used to process PredictRequest.
getModelSpec() - 接口中的方法tensorflow.serving.Predict.PredictResponseOrBuilder: Effective Model Specification used to process PredictRequest.
getModelSpec() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder: Model Specification.
getModelSpec() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest: Model Specification.
getModelSpec() - 接口中的方法tensorflow.serving.RegressionOuterClass.RegressionRequestOrBuilder: Model Specification.
getModelSpec() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder: Effective Model Specification used for regression.
getModelSpec() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse: Effective Model Specification used for regression.
getModelSpec() - 接口中的方法tensorflow.serving.RegressionOuterClass.RegressionResponseOrBuilder: Effective Model Specification used for regression.
getModelSpec() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Model Specification.
getModelSpec() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest: Model Specification.
getModelSpec() - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder: Model Specification.
getModelSpecBuilder() - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder: Model Specification.
getModelSpecBuilder() - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder: Effective Model Specification used for classification.
getModelSpecBuilder() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder: Model Specification indicating which model we are querying for metadata.
getModelSpecBuilder() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder: Model Specification indicating which model this metadata belongs to.
getModelSpecBuilder() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder: Model Specification.
getModelSpecBuilder() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.ModelSpec model_spec = 1;
getModelSpecBuilder() - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder: Model Specification.
getModelSpecBuilder() - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder: .tensorflow.serving.ModelSpec model_spec = 1;
getModelSpecBuilder() - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Model Specification.
getModelSpecBuilder() - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder: Effective Model Specification used to process PredictRequest.
getModelSpecBuilder() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder: Model Specification.
getModelSpecBuilder() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder: Effective Model Specification used for regression.
getModelSpecBuilder() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Model Specification.
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder: Model Specification.
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.Classification.ClassificationRequest: Model Specification.
getModelSpecOrBuilder() - 接口中的方法tensorflow.serving.Classification.ClassificationRequestOrBuilder: Model Specification.
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder: Effective Model Specification used for classification.
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.Classification.ClassificationResponse: Effective Model Specification used for classification.
getModelSpecOrBuilder() - 接口中的方法tensorflow.serving.Classification.ClassificationResponseOrBuilder: Effective Model Specification used for classification.
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder: Model Specification indicating which model we are querying for metadata.
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest: Model Specification indicating which model we are querying for metadata.
getModelSpecOrBuilder() - 接口中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequestOrBuilder: Model Specification indicating which model we are querying for metadata.
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder: Model Specification indicating which model this metadata belongs to.
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse: Model Specification indicating which model this metadata belongs to.
getModelSpecOrBuilder() - 接口中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponseOrBuilder: Model Specification indicating which model this metadata belongs to.
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder: Model Specification.
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest: Model Specification.
getModelSpecOrBuilder() - 接口中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequestOrBuilder: Model Specification.
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.ModelSpec model_spec = 1;
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.Inference.InferenceResult: .tensorflow.serving.ModelSpec model_spec = 1;
getModelSpecOrBuilder() - 接口中的方法tensorflow.serving.Inference.InferenceResultOrBuilder: .tensorflow.serving.ModelSpec model_spec = 1;
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder: Model Specification.
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.Inference.InferenceTask: Model Specification.
getModelSpecOrBuilder() - 接口中的方法tensorflow.serving.Inference.InferenceTaskOrBuilder: Model Specification.
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder: .tensorflow.serving.ModelSpec model_spec = 1;
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.Logging.LogMetadata: .tensorflow.serving.ModelSpec model_spec = 1;
getModelSpecOrBuilder() - 接口中的方法tensorflow.serving.Logging.LogMetadataOrBuilder: .tensorflow.serving.ModelSpec model_spec = 1;
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Model Specification.
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.Predict.PredictRequest: Model Specification.
getModelSpecOrBuilder() - 接口中的方法tensorflow.serving.Predict.PredictRequestOrBuilder: Model Specification.
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder: Effective Model Specification used to process PredictRequest.
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.Predict.PredictResponse: Effective Model Specification used to process PredictRequest.
getModelSpecOrBuilder() - 接口中的方法tensorflow.serving.Predict.PredictResponseOrBuilder: Effective Model Specification used to process PredictRequest.
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder: Model Specification.
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest: Model Specification.
getModelSpecOrBuilder() - 接口中的方法tensorflow.serving.RegressionOuterClass.RegressionRequestOrBuilder: Model Specification.
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder: Effective Model Specification used for regression.
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse: Effective Model Specification used for regression.
getModelSpecOrBuilder() - 接口中的方法tensorflow.serving.RegressionOuterClass.RegressionResponseOrBuilder: Effective Model Specification used for regression.
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Model Specification.
getModelSpecOrBuilder() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest: Model Specification.
getModelSpecOrBuilder() - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder: Model Specification.
GetModelStatus - tensorflow.serving中的类
getModelStatus(GetModelStatus.GetModelStatusRequest) - 类中的方法tensorflow.serving.ModelServiceGrpc.ModelServiceBlockingStub: Gets status of model.
getModelStatus(GetModelStatus.GetModelStatusRequest) - 类中的方法tensorflow.serving.ModelServiceGrpc.ModelServiceFutureStub: Gets status of model.
getModelStatus(GetModelStatus.GetModelStatusRequest, StreamObserver<GetModelStatus.GetModelStatusResponse>) - 类中的方法tensorflow.serving.ModelServiceGrpc.ModelServiceImplBase: Gets status of model.
getModelStatus(GetModelStatus.GetModelStatusRequest, StreamObserver<GetModelStatus.GetModelStatusResponse>) - 类中的方法tensorflow.serving.ModelServiceGrpc.ModelServiceStub: Gets status of model.
GetModelStatus.GetModelStatusRequest - tensorflow.serving中的类: GetModelStatusRequest contains a ModelSpec indicating the model for which to get status.
GetModelStatus.GetModelStatusRequest.Builder - tensorflow.serving中的类: GetModelStatusRequest contains a ModelSpec indicating the model for which to get status.
GetModelStatus.GetModelStatusRequestOrBuilder - tensorflow.serving中的接口
GetModelStatus.GetModelStatusResponse - tensorflow.serving中的类: Response for ModelStatusRequest on successful run.
GetModelStatus.GetModelStatusResponse.Builder - tensorflow.serving中的类: Response for ModelStatusRequest on successful run.
GetModelStatus.GetModelStatusResponseOrBuilder - tensorflow.serving中的接口
GetModelStatus.ModelVersionStatus - tensorflow.serving中的类: Version number, state, and status for a single version of a model.
GetModelStatus.ModelVersionStatus.Builder - tensorflow.serving中的类: Version number, state, and status for a single version of a model.
GetModelStatus.ModelVersionStatus.State - tensorflow.serving中的枚举: States that map to ManagerState enum in tensorflow_serving/core/servable_state.h Protobuf enum tensorflow.serving.ModelVersionStatus.State
GetModelStatus.ModelVersionStatusOrBuilder - tensorflow.serving中的接口
getModelType() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: 已过时。
getModelType() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig: 已过时。
getModelType() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder: 已过时。
getModelTypeValue() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: 已过时。
getModelTypeValue() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig: 已过时。
getModelTypeValue() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder: 已过时。
getModelVersionPolicy() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Version policy for the model indicating which version(s) of the model to load and make available for serving simultaneously.
getModelVersionPolicy() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig: Version policy for the model indicating which version(s) of the model to load and make available for serving simultaneously.
getModelVersionPolicy() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder: Version policy for the model indicating which version(s) of the model to load and make available for serving simultaneously.
getModelVersionPolicyBuilder() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Version policy for the model indicating which version(s) of the model to load and make available for serving simultaneously.
getModelVersionPolicyOrBuilder() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Version policy for the model indicating which version(s) of the model to load and make available for serving simultaneously.
getModelVersionPolicyOrBuilder() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig: Version policy for the model indicating which version(s) of the model to load and make available for serving simultaneously.
getModelVersionPolicyOrBuilder() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder: Version policy for the model indicating which version(s) of the model to load and make available for serving simultaneously.
getModelVersionStatus(int) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder: Version number and status information for applicable model version(s).
getModelVersionStatus(int) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse: Version number and status information for applicable model version(s).
getModelVersionStatus(int) - 接口中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponseOrBuilder: Version number and status information for applicable model version(s).
getModelVersionStatusBuilder(int) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder: Version number and status information for applicable model version(s).
getModelVersionStatusBuilderList() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder: Version number and status information for applicable model version(s).
getModelVersionStatusCount() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder: Version number and status information for applicable model version(s).
getModelVersionStatusCount() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse: Version number and status information for applicable model version(s).
getModelVersionStatusCount() - 接口中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponseOrBuilder: Version number and status information for applicable model version(s).
getModelVersionStatusList() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder: Version number and status information for applicable model version(s).
getModelVersionStatusList() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse: Version number and status information for applicable model version(s).
getModelVersionStatusList() - 接口中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponseOrBuilder: Version number and status information for applicable model version(s).
getModelVersionStatusOrBuilder(int) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder: Version number and status information for applicable model version(s).
getModelVersionStatusOrBuilder(int) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse: Version number and status information for applicable model version(s).
getModelVersionStatusOrBuilder(int) - 接口中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponseOrBuilder: Version number and status information for applicable model version(s).
getModelVersionStatusOrBuilderList() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder: Version number and status information for applicable model version(s).
getModelVersionStatusOrBuilderList() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse: Version number and status information for applicable model version(s).
getModelVersionStatusOrBuilderList() - 接口中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponseOrBuilder: Version number and status information for applicable model version(s).
getMultiInferenceLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.MultiInferenceLog multi_inference_log = 4;
getMultiInferenceLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog: .tensorflow.serving.MultiInferenceLog multi_inference_log = 4;
getMultiInferenceLog() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder: .tensorflow.serving.MultiInferenceLog multi_inference_log = 4;
getMultiInferenceLogBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.MultiInferenceLog multi_inference_log = 4;
getMultiInferenceLogOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.MultiInferenceLog multi_inference_log = 4;
getMultiInferenceLogOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog: .tensorflow.serving.MultiInferenceLog multi_inference_log = 4;
getMultiInferenceLogOrBuilder() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder: .tensorflow.serving.MultiInferenceLog multi_inference_log = 4;
getMultiInferenceMethod() - 类中的静态方法tensorflow.serving.PredictionServiceGrpc
getMutableAttr() - 类中的方法org.tensorflow.framework.FunctionDef.Builder: 已过时。
getMutableAttr() - 类中的方法org.tensorflow.framework.NameAttrList.Builder: 已过时。
getMutableAttr() - 类中的方法org.tensorflow.framework.NodeDef.Builder: 已过时。
getMutableAttrs() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: 已过时。
getMutableCollectionDef() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: 已过时。
getMutableDeviceCount() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: 已过时。
getMutableEnvironment() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: 已过时。
getMutableExternalValues() - 类中的方法org.tensorflow.framework.ValuesDef.Builder: 已过时。
getMutableFeature() - 类中的方法org.tensorflow.example.Features.Builder: 已过时。
getMutableFeatureList() - 类中的方法org.tensorflow.example.FeatureLists.Builder: 已过时。
getMutableFeatureMap() - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder: 已过时。
getMutableFeedDevices() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: 已过时。
getMutableFetchDevices() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: 已过时。
getMutableInputs() - 类中的方法org.tensorflow.framework.SignatureDef.Builder: 已过时。
getMutableInputs() - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: 已过时。
getMutableMetadata() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder: 已过时。
getMutableOutputs() - 类中的方法org.tensorflow.framework.SignatureDef.Builder: 已过时。
getMutableOutputs() - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder: 已过时。
getMutableParameterMap() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder: 已过时。
getMutablePlatformConfigs() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder: 已过时。
getMutableRet() - 类中的方法org.tensorflow.framework.FunctionDef.Builder: 已过时。
getMutableSignatureDef() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: 已过时。
getMutableSignatureDef() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder: 已过时。
getMutableTasks() - 类中的方法org.tensorflow.distruntime.JobDef.Builder: 已过时。
getName() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: string name = 1;
getName() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest: string name = 1;
getName() - 接口中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder: string name = 1;
getName() - 类中的方法org.tensorflow.distruntime.JobDef.Builder: The name of this job.
getName() - 类中的方法org.tensorflow.distruntime.JobDef: The name of this job.
getName() - 接口中的方法org.tensorflow.distruntime.JobDefOrBuilder: The name of this job.
getName() - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder: string name = 1;
getName() - 类中的方法org.tensorflow.framework.ApiDef.Arg: string name = 1;
getName() - 接口中的方法org.tensorflow.framework.ApiDef.ArgOrBuilder: string name = 1;
getName() - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: string name = 1;
getName() - 类中的方法org.tensorflow.framework.ApiDef.Attr: string name = 1;
getName() - 接口中的方法org.tensorflow.framework.ApiDef.AttrOrBuilder: string name = 1;
getName() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
getName() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
getName() - 接口中的方法org.tensorflow.framework.ApiDef.EndpointOrBuilder: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
getName() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: The name of the node.
getName() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: The name of the node.
getName() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: The name of the node.
getName() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: Fully specified name of the device within a cluster.
getName() - 类中的方法org.tensorflow.framework.DeviceAttributes: Fully specified name of the device within a cluster.
getName() - 接口中的方法org.tensorflow.framework.DeviceAttributesOrBuilder: Fully specified name of the device within a cluster.
getName() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: string name = 1;
getName() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo: string name = 1;
getName() - 接口中的方法org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder: string name = 1;
getName() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder: string name = 1;
getName() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo: string name = 1;
getName() - 接口中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder: string name = 1;
getName() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder: string name = 1;
getName() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo: string name = 1;
getName() - 接口中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder: string name = 1;
getName() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: string name = 1;
getName() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo: string name = 1;
getName() - 接口中的方法org.tensorflow.framework.GraphTransferNodeInfoOrBuilder: string name = 1;
getName() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder: Name of an attr from the Op.
getName() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint: Name of an attr from the Op.
getName() - 接口中的方法org.tensorflow.framework.KernelDef.AttrConstraintOrBuilder: Name of an attr from the Op.
getName() - 类中的方法org.tensorflow.framework.NameAttrList.Builder: string name = 1;
getName() - 类中的方法org.tensorflow.framework.NameAttrList: string name = 1;
getName() - 接口中的方法org.tensorflow.framework.NameAttrListOrBuilder: string name = 1;
getName() - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder: Name of the tensor.
getName() - 类中的方法org.tensorflow.framework.NamedTensorProto: Name of the tensor.
getName() - 接口中的方法org.tensorflow.framework.NamedTensorProtoOrBuilder: Name of the tensor.
getName() - 类中的方法org.tensorflow.framework.NodeDef.Builder: The name given to this operator.
getName() - 类中的方法org.tensorflow.framework.NodeDef: The name given to this operator.
getName() - 接口中的方法org.tensorflow.framework.NodeDefOrBuilder: The name given to this operator.
getName() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: Name for the input/output.
getName() - 类中的方法org.tensorflow.framework.OpDef.ArgDef: Name for the input/output.
getName() - 接口中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder: Name for the input/output.
getName() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: A descriptive name for the argument.
getName() - 类中的方法org.tensorflow.framework.OpDef.AttrDef: A descriptive name for the argument.
getName() - 接口中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder: A descriptive name for the argument.
getName() - 类中的方法org.tensorflow.framework.OpDef.Builder: Op names starting with an underscore are reserved for internal use.
getName() - 类中的方法org.tensorflow.framework.OpDef: Op names starting with an underscore are reserved for internal use.
getName() - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: Op names starting with an underscore are reserved for internal use.
getName() - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: Unique name of this resource.
getName() - 类中的方法org.tensorflow.framework.ResourceHandleProto: Unique name of this resource.
getName() - 接口中的方法org.tensorflow.framework.ResourceHandleProtoOrBuilder: Unique name of this resource.
getName() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder: string name = 1;
getName() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer: string name = 1;
getName() - 接口中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder: string name = 1;
getName() - 类中的方法org.tensorflow.framework.TensorInfo.Builder: For dense `Tensor`s, the name of the tensor in the graph.
getName() - 类中的方法org.tensorflow.framework.TensorInfo: For dense `Tensor`s, the name of the tensor in the graph.
getName() - 接口中的方法org.tensorflow.framework.TensorInfoOrBuilder: For dense `Tensor`s, the name of the tensor in the graph.
getName() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder: Optional name of the tensor dimension.
getName() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim: Optional name of the tensor dimension.
getName() - 接口中的方法org.tensorflow.framework.TensorShapeProto.DimOrBuilder: Optional name of the tensor dimension.
getName() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder: A name for the Tensor.
getName() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor: A name for the Tensor.
getName() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder: A name for the Tensor.
getName() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder: string name = 1;
getName() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice: string name = 1;
getName() - 接口中的方法tensorflow.DevicePropertiesProtos.NamedDeviceOrBuilder: string name = 1;
getName() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: string name = 2;
getName() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation: string name = 2;
getName() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder: string name = 2;
getName() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: Required servable name.
getName() - 类中的方法tensorflow.serving.Model.ModelSpec: Required servable name.
getName() - 接口中的方法tensorflow.serving.Model.ModelSpecOrBuilder: Required servable name.
getName() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Name of the model.
getName() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig: Name of the model.
getName() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder: Name of the model.
getNameBytes() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: string name = 1;
getNameBytes() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest: string name = 1;
getNameBytes() - 接口中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder: string name = 1;
getNameBytes() - 类中的方法org.tensorflow.distruntime.JobDef.Builder: The name of this job.
getNameBytes() - 类中的方法org.tensorflow.distruntime.JobDef: The name of this job.
getNameBytes() - 接口中的方法org.tensorflow.distruntime.JobDefOrBuilder: The name of this job.
getNameBytes() - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder: string name = 1;
getNameBytes() - 类中的方法org.tensorflow.framework.ApiDef.Arg: string name = 1;
getNameBytes() - 接口中的方法org.tensorflow.framework.ApiDef.ArgOrBuilder: string name = 1;
getNameBytes() - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: string name = 1;
getNameBytes() - 类中的方法org.tensorflow.framework.ApiDef.Attr: string name = 1;
getNameBytes() - 接口中的方法org.tensorflow.framework.ApiDef.AttrOrBuilder: string name = 1;
getNameBytes() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
getNameBytes() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
getNameBytes() - 接口中的方法org.tensorflow.framework.ApiDef.EndpointOrBuilder: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
getNameBytes() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: The name of the node.
getNameBytes() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: The name of the node.
getNameBytes() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: The name of the node.
getNameBytes() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: Fully specified name of the device within a cluster.
getNameBytes() - 类中的方法org.tensorflow.framework.DeviceAttributes: Fully specified name of the device within a cluster.
getNameBytes() - 接口中的方法org.tensorflow.framework.DeviceAttributesOrBuilder: Fully specified name of the device within a cluster.
getNameBytes() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: string name = 1;
getNameBytes() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo: string name = 1;
getNameBytes() - 接口中的方法org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder: string name = 1;
getNameBytes() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder: string name = 1;
getNameBytes() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo: string name = 1;
getNameBytes() - 接口中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder: string name = 1;
getNameBytes() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder: string name = 1;
getNameBytes() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo: string name = 1;
getNameBytes() - 接口中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder: string name = 1;
getNameBytes() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: string name = 1;
getNameBytes() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo: string name = 1;
getNameBytes() - 接口中的方法org.tensorflow.framework.GraphTransferNodeInfoOrBuilder: string name = 1;
getNameBytes() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder: Name of an attr from the Op.
getNameBytes() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint: Name of an attr from the Op.
getNameBytes() - 接口中的方法org.tensorflow.framework.KernelDef.AttrConstraintOrBuilder: Name of an attr from the Op.
getNameBytes() - 类中的方法org.tensorflow.framework.NameAttrList.Builder: string name = 1;
getNameBytes() - 类中的方法org.tensorflow.framework.NameAttrList: string name = 1;
getNameBytes() - 接口中的方法org.tensorflow.framework.NameAttrListOrBuilder: string name = 1;
getNameBytes() - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder: Name of the tensor.
getNameBytes() - 类中的方法org.tensorflow.framework.NamedTensorProto: Name of the tensor.
getNameBytes() - 接口中的方法org.tensorflow.framework.NamedTensorProtoOrBuilder: Name of the tensor.
getNameBytes() - 类中的方法org.tensorflow.framework.NodeDef.Builder: The name given to this operator.
getNameBytes() - 类中的方法org.tensorflow.framework.NodeDef: The name given to this operator.
getNameBytes() - 接口中的方法org.tensorflow.framework.NodeDefOrBuilder: The name given to this operator.
getNameBytes() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: Name for the input/output.
getNameBytes() - 类中的方法org.tensorflow.framework.OpDef.ArgDef: Name for the input/output.
getNameBytes() - 接口中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder: Name for the input/output.
getNameBytes() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: A descriptive name for the argument.
getNameBytes() - 类中的方法org.tensorflow.framework.OpDef.AttrDef: A descriptive name for the argument.
getNameBytes() - 接口中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder: A descriptive name for the argument.
getNameBytes() - 类中的方法org.tensorflow.framework.OpDef.Builder: Op names starting with an underscore are reserved for internal use.
getNameBytes() - 类中的方法org.tensorflow.framework.OpDef: Op names starting with an underscore are reserved for internal use.
getNameBytes() - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: Op names starting with an underscore are reserved for internal use.
getNameBytes() - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: Unique name of this resource.
getNameBytes() - 类中的方法org.tensorflow.framework.ResourceHandleProto: Unique name of this resource.
getNameBytes() - 接口中的方法org.tensorflow.framework.ResourceHandleProtoOrBuilder: Unique name of this resource.
getNameBytes() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder: string name = 1;
getNameBytes() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer: string name = 1;
getNameBytes() - 接口中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder: string name = 1;
getNameBytes() - 类中的方法org.tensorflow.framework.TensorInfo.Builder: For dense `Tensor`s, the name of the tensor in the graph.
getNameBytes() - 类中的方法org.tensorflow.framework.TensorInfo: For dense `Tensor`s, the name of the tensor in the graph.
getNameBytes() - 接口中的方法org.tensorflow.framework.TensorInfoOrBuilder: For dense `Tensor`s, the name of the tensor in the graph.
getNameBytes() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder: Optional name of the tensor dimension.
getNameBytes() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim: Optional name of the tensor dimension.
getNameBytes() - 接口中的方法org.tensorflow.framework.TensorShapeProto.DimOrBuilder: Optional name of the tensor dimension.
getNameBytes() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder: A name for the Tensor.
getNameBytes() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor: A name for the Tensor.
getNameBytes() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder: A name for the Tensor.
getNameBytes() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder: string name = 1;
getNameBytes() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice: string name = 1;
getNameBytes() - 接口中的方法tensorflow.DevicePropertiesProtos.NamedDeviceOrBuilder: string name = 1;
getNameBytes() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: string name = 2;
getNameBytes() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation: string name = 2;
getNameBytes() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder: string name = 2;
getNameBytes() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: Required servable name.
getNameBytes() - 类中的方法tensorflow.serving.Model.ModelSpec: Required servable name.
getNameBytes() - 接口中的方法tensorflow.serving.Model.ModelSpecOrBuilder: Required servable name.
getNameBytes() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Name of the model.
getNameBytes() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig: Name of the model.
getNameBytes() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder: Name of the model.
getNestedContexts(int) - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
getNestedContexts(int) - 类中的方法org.tensorflow.framework.CondContextDef: Contexts contained inside this context (e.g. nested conds).
getNestedContexts(int) - 接口中的方法org.tensorflow.framework.CondContextDefOrBuilder: Contexts contained inside this context (e.g. nested conds).
getNestedContexts(int) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
getNestedContexts(int) - 类中的方法org.tensorflow.framework.WhileContextDef: Contexts contained inside this context (e.g. nested whiles).
getNestedContexts(int) - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsBuilder(int) - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
getNestedContextsBuilder(int) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsBuilderList() - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
getNestedContextsBuilderList() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsCount() - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
getNestedContextsCount() - 类中的方法org.tensorflow.framework.CondContextDef: Contexts contained inside this context (e.g. nested conds).
getNestedContextsCount() - 接口中的方法org.tensorflow.framework.CondContextDefOrBuilder: Contexts contained inside this context (e.g. nested conds).
getNestedContextsCount() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsCount() - 类中的方法org.tensorflow.framework.WhileContextDef: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsCount() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsList() - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
getNestedContextsList() - 类中的方法org.tensorflow.framework.CondContextDef: Contexts contained inside this context (e.g. nested conds).
getNestedContextsList() - 接口中的方法org.tensorflow.framework.CondContextDefOrBuilder: Contexts contained inside this context (e.g. nested conds).
getNestedContextsList() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsList() - 类中的方法org.tensorflow.framework.WhileContextDef: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsList() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsOrBuilder(int) - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
getNestedContextsOrBuilder(int) - 类中的方法org.tensorflow.framework.CondContextDef: Contexts contained inside this context (e.g. nested conds).
getNestedContextsOrBuilder(int) - 接口中的方法org.tensorflow.framework.CondContextDefOrBuilder: Contexts contained inside this context (e.g. nested conds).
getNestedContextsOrBuilder(int) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsOrBuilder(int) - 类中的方法org.tensorflow.framework.WhileContextDef: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsOrBuilder(int) - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsOrBuilderList() - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
getNestedContextsOrBuilderList() - 类中的方法org.tensorflow.framework.CondContextDef: Contexts contained inside this context (e.g. nested conds).
getNestedContextsOrBuilderList() - 接口中的方法org.tensorflow.framework.CondContextDefOrBuilder: Contexts contained inside this context (e.g. nested conds).
getNestedContextsOrBuilderList() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsOrBuilderList() - 类中的方法org.tensorflow.framework.WhileContextDef: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsOrBuilderList() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: Contexts contained inside this context (e.g. nested whiles).
getNewGraphVersion() - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder: The new version number for the extended graph, to be used in the next call to ExtendSession.
getNewGraphVersion() - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse: The new version number for the extended graph, to be used in the next call to ExtendSession.
getNewGraphVersion() - 接口中的方法org.tensorflow.distruntime.ExtendSessionResponseOrBuilder: The new version number for the extended graph, to be used in the next call to ExtendSession.
getNextStepId() - 类中的方法org.tensorflow.distruntime.StepSequence.Builder: int64 next_step_id = 2;
getNextStepId() - 类中的方法org.tensorflow.distruntime.StepSequence: int64 next_step_id = 2;
getNextStepId() - 接口中的方法org.tensorflow.distruntime.StepSequenceOrBuilder: int64 next_step_id = 2;
getNode(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNode(int) - 类中的方法org.tensorflow.framework.CostGraphDef: repeated .tensorflow.CostGraphDef.Node node = 1;
getNode(int) - 接口中的方法org.tensorflow.framework.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNode(int) - 类中的方法org.tensorflow.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
getNode(int) - 类中的方法org.tensorflow.framework.GraphDef: repeated .tensorflow.NodeDef node = 1;
getNode(int) - 接口中的方法org.tensorflow.framework.GraphDefOrBuilder: repeated .tensorflow.NodeDef node = 1;
getNodeBuilder(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeBuilder(int) - 类中的方法org.tensorflow.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
getNodeBuilderList() - 类中的方法org.tensorflow.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeBuilderList() - 类中的方法org.tensorflow.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
getNodeCount() - 类中的方法org.tensorflow.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeCount() - 类中的方法org.tensorflow.framework.CostGraphDef: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeCount() - 接口中的方法org.tensorflow.framework.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeCount() - 类中的方法org.tensorflow.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
getNodeCount() - 类中的方法org.tensorflow.framework.GraphDef: repeated .tensorflow.NodeDef node = 1;
getNodeCount() - 接口中的方法org.tensorflow.framework.GraphDefOrBuilder: repeated .tensorflow.NodeDef node = 1;
getNodeDef(int) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDef(int) - 类中的方法org.tensorflow.framework.FunctionDef: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDef(int) - 接口中的方法org.tensorflow.framework.FunctionDefOrBuilder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefBuilder(int) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefBuilderList() - 类中的方法org.tensorflow.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefCount() - 类中的方法org.tensorflow.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefCount() - 类中的方法org.tensorflow.framework.FunctionDef: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefCount() - 接口中的方法org.tensorflow.framework.FunctionDefOrBuilder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefList() - 类中的方法org.tensorflow.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefList() - 类中的方法org.tensorflow.framework.FunctionDef: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefList() - 接口中的方法org.tensorflow.framework.FunctionDefOrBuilder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefOrBuilder(int) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefOrBuilder(int) - 类中的方法org.tensorflow.framework.FunctionDef: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefOrBuilder(int) - 接口中的方法org.tensorflow.framework.FunctionDefOrBuilder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefOrBuilderList() - 类中的方法org.tensorflow.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefOrBuilderList() - 类中的方法org.tensorflow.framework.FunctionDef: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefOrBuilderList() - 接口中的方法org.tensorflow.framework.FunctionDefOrBuilder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeId() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: int32 node_id = 2;
getNodeId() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo: int32 node_id = 2;
getNodeId() - 接口中的方法org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder: int32 node_id = 2;
getNodeId() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: int32 node_id = 2;
getNodeId() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo: int32 node_id = 2;
getNodeId() - 接口中的方法org.tensorflow.framework.GraphTransferNodeInfoOrBuilder: int32 node_id = 2;
getNodeId() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder: int32 node_id = 1;
getNodeId() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput: int32 node_id = 1;
getNodeId() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder: int32 node_id = 1;
getNodeId() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo: int32 node_id = 1;
getNodeId() - 接口中的方法org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder: int32 node_id = 1;
getNodeId() - 接口中的方法org.tensorflow.framework.GraphTransferNodeInputOrBuilder: int32 node_id = 1;
getNodeId() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder: int32 node_id = 1;
getNodeId() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo: int32 node_id = 1;
getNodeId() - 接口中的方法org.tensorflow.framework.GraphTransferNodeOutputInfoOrBuilder: int32 node_id = 1;
getNodeId() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder: An index into `CheckpointableObjectGraph.nodes`, indicating the object being referenced.
getNodeId() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference: An index into `CheckpointableObjectGraph.nodes`, indicating the object being referenced.
getNodeId() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReferenceOrBuilder: An index into `CheckpointableObjectGraph.nodes`, indicating the object being referenced.
getNodeInfo(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfo(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfo(int) - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoBuilderList() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoCount() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoCount() - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoCount() - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoList() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoList() - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoList() - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoOrBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoOrBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoOrBuilder(int) - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoOrBuilderList() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoOrBuilderList() - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoOrBuilderList() - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInput(int) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInput(int) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInput(int) - 接口中的方法org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputBuilderList() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputCount() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputCount() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputCount() - 接口中的方法org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputInfo(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfo(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfo(int) - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoBuilderList() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoCount() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoCount() - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoCount() - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoList() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoList() - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoList() - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoOrBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoOrBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoOrBuilder(int) - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoOrBuilderList() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoOrBuilderList() - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoOrBuilderList() - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputList() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputList() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputList() - 接口中的方法org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputOrBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputOrBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputOrBuilder(int) - 接口中的方法org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputOrBuilderList() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputOrBuilderList() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputOrBuilderList() - 接口中的方法org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeList() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
getNodeList() - 类中的方法org.tensorflow.framework.CollectionDef: .tensorflow.CollectionDef.NodeList node_list = 1;
getNodeList() - 接口中的方法org.tensorflow.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.NodeList node_list = 1;
getNodeList() - 类中的方法org.tensorflow.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeList() - 类中的方法org.tensorflow.framework.CostGraphDef: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeList() - 接口中的方法org.tensorflow.framework.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeList() - 类中的方法org.tensorflow.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
getNodeList() - 类中的方法org.tensorflow.framework.GraphDef: repeated .tensorflow.NodeDef node = 1;
getNodeList() - 接口中的方法org.tensorflow.framework.GraphDefOrBuilder: repeated .tensorflow.NodeDef node = 1;
getNodeListBuilder() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
getNodeListOrBuilder() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
getNodeListOrBuilder() - 类中的方法org.tensorflow.framework.CollectionDef: .tensorflow.CollectionDef.NodeList node_list = 1;
getNodeListOrBuilder() - 接口中的方法org.tensorflow.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.NodeList node_list = 1;
getNodeName() - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: Name of the node to watch.
getNodeName() - 类中的方法org.tensorflow.framework.DebugTensorWatch: Name of the node to watch.
getNodeName() - 接口中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder: Name of the node to watch.
getNodeName() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: TODO(tucker): Use some more compact form of node identity than the full string name.
getNodeName() - 类中的方法org.tensorflow.framework.NodeExecStats: TODO(tucker): Use some more compact form of node identity than the full string name.
getNodeName() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: TODO(tucker): Use some more compact form of node identity than the full string name.
getNodeName() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: This field is deprecated and will not be set.
getNodeName() - 类中的方法org.tensorflow.framework.Summary.Value: This field is deprecated and will not be set.
getNodeName() - 接口中的方法org.tensorflow.framework.Summary.ValueOrBuilder: This field is deprecated and will not be set.
getNodeNameBytes() - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: Name of the node to watch.
getNodeNameBytes() - 类中的方法org.tensorflow.framework.DebugTensorWatch: Name of the node to watch.
getNodeNameBytes() - 接口中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder: Name of the node to watch.
getNodeNameBytes() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: TODO(tucker): Use some more compact form of node identity than the full string name.
getNodeNameBytes() - 类中的方法org.tensorflow.framework.NodeExecStats: TODO(tucker): Use some more compact form of node identity than the full string name.
getNodeNameBytes() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: TODO(tucker): Use some more compact form of node identity than the full string name.
getNodeNameBytes() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: This field is deprecated and will not be set.
getNodeNameBytes() - 类中的方法org.tensorflow.framework.Summary.Value: This field is deprecated and will not be set.
getNodeNameBytes() - 接口中的方法org.tensorflow.framework.Summary.ValueOrBuilder: This field is deprecated and will not be set.
getNodeOrBuilder(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeOrBuilder(int) - 类中的方法org.tensorflow.framework.CostGraphDef: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeOrBuilder(int) - 接口中的方法org.tensorflow.framework.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeOrBuilder(int) - 类中的方法org.tensorflow.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
getNodeOrBuilder(int) - 类中的方法org.tensorflow.framework.GraphDef: repeated .tensorflow.NodeDef node = 1;
getNodeOrBuilder(int) - 接口中的方法org.tensorflow.framework.GraphDefOrBuilder: repeated .tensorflow.NodeDef node = 1;
getNodeOrBuilderList() - 类中的方法org.tensorflow.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeOrBuilderList() - 类中的方法org.tensorflow.framework.CostGraphDef: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeOrBuilderList() - 接口中的方法org.tensorflow.framework.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeOrBuilderList() - 类中的方法org.tensorflow.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
getNodeOrBuilderList() - 类中的方法org.tensorflow.framework.GraphDef: repeated .tensorflow.NodeDef node = 1;
getNodeOrBuilderList() - 接口中的方法org.tensorflow.framework.GraphDefOrBuilder: repeated .tensorflow.NodeDef node = 1;
getNodeOutputInfo(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfo(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfo(int) - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoBuilderList() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoCount() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoCount() - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoCount() - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoList() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoList() - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoList() - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoOrBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoOrBuilder(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoOrBuilder(int) - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoOrBuilderList() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoOrBuilderList() - 类中的方法org.tensorflow.framework.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoOrBuilderList() - 接口中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodes(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
getNodes(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
getNodes(int) - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
getNodesBuilder(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
getNodesBuilderList() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
getNodesCount() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
getNodesCount() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
getNodesCount() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
getNodesList() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
getNodesList() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
getNodesList() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
getNodesOrBuilder(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
getNodesOrBuilder(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
getNodesOrBuilder(int) - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
getNodesOrBuilderList() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
getNodesOrBuilderList() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
getNodesOrBuilderList() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
getNodeStats(int) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStats(int) - 类中的方法org.tensorflow.framework.DeviceStepStats: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStats(int) - 接口中的方法org.tensorflow.framework.DeviceStepStatsOrBuilder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsBuilder(int) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsBuilderList() - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsCount() - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsCount() - 类中的方法org.tensorflow.framework.DeviceStepStats: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsCount() - 接口中的方法org.tensorflow.framework.DeviceStepStatsOrBuilder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsList() - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsList() - 类中的方法org.tensorflow.framework.DeviceStepStats: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsList() - 接口中的方法org.tensorflow.framework.DeviceStepStatsOrBuilder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsOrBuilder(int) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsOrBuilder(int) - 类中的方法org.tensorflow.framework.DeviceStepStats: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsOrBuilder(int) - 接口中的方法org.tensorflow.framework.DeviceStepStatsOrBuilder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsOrBuilderList() - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsOrBuilderList() - 类中的方法org.tensorflow.framework.DeviceStepStats: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsOrBuilderList() - 接口中的方法org.tensorflow.framework.DeviceStepStatsOrBuilder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNum() - 类中的方法org.tensorflow.framework.HistogramProto.Builder: double num = 3;
getNum() - 类中的方法org.tensorflow.framework.HistogramProto: double num = 3;
getNum() - 接口中的方法org.tensorflow.framework.HistogramProtoOrBuilder: double num = 3;
getNumaNode() - 类中的方法org.tensorflow.framework.DeviceLocality.Builder: Optional NUMA locality of device.
getNumaNode() - 类中的方法org.tensorflow.framework.DeviceLocality: Optional NUMA locality of device.
getNumaNode() - 接口中的方法org.tensorflow.framework.DeviceLocalityOrBuilder: Optional NUMA locality of device.
getNumber() - 枚举中的方法org.tensorflow.example.Feature.KindCase
getNumber() - 枚举中的方法org.tensorflow.example.FeatureConfiguration.ConfigCase
getNumber() - 枚举中的方法org.tensorflow.framework.ApiDef.Visibility
getNumber() - 枚举中的方法org.tensorflow.framework.AttrValue.ValueCase
getNumber() - 枚举中的方法org.tensorflow.framework.Code
getNumber() - 枚举中的方法org.tensorflow.framework.CollectionDef.KindCase
getNumber() - 枚举中的方法org.tensorflow.framework.ControlFlowContextDef.CtxtCase
getNumber() - 枚举中的方法org.tensorflow.framework.DataType
getNumber() - 枚举中的方法org.tensorflow.framework.GraphTransferInfo.Destination
getNumber() - 枚举中的方法org.tensorflow.framework.OptimizerOptions.GlobalJitLevel
getNumber() - 枚举中的方法org.tensorflow.framework.OptimizerOptions.Level
getNumber() - 枚举中的方法org.tensorflow.framework.RewriterConfig.MemOptType
getNumber() - 枚举中的方法org.tensorflow.framework.RewriterConfig.NumIterationsType
getNumber() - 枚举中的方法org.tensorflow.framework.RewriterConfig.Toggle
getNumber() - 枚举中的方法org.tensorflow.framework.RunOptions.TraceLevel
getNumber() - 枚举中的方法org.tensorflow.framework.Summary.Value.ValueCase
getNumber() - 枚举中的方法org.tensorflow.framework.TensorInfo.EncodingCase
getNumber() - 枚举中的方法org.tensorflow.framework.TensorSliceProto.Extent.HasLengthCase
getNumber() - 枚举中的方法org.tensorflow.util.BundleHeaderProto.Endianness
getNumber() - 枚举中的方法org.tensorflow.util.SaverDef.CheckpointFormatVersion
getNumber() - 枚举中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.ItemCase
getNumber() - 枚举中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.PolicyChoiceCase
getNumber() - 枚举中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.State
getNumber() - 枚举中的方法tensorflow.serving.Inference.InferenceResult.ResultCase
getNumber() - 枚举中的方法tensorflow.serving.InputOuterClass.Input.KindCase
getNumber() - 枚举中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.KindCase
getNumber() - 枚举中的方法tensorflow.serving.Model.ModelSpec.VersionChoiceCase
getNumber() - 枚举中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.ConfigCase
getNumber() - 枚举中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelType
getNumber() - 枚举中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.LogTypeCase
getNumberAttr() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: if specified, attr must have type "int" string number_attr = 5;
getNumberAttr() - 类中的方法org.tensorflow.framework.OpDef.ArgDef: if specified, attr must have type "int" string number_attr = 5;
getNumberAttr() - 接口中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder: if specified, attr must have type "int" string number_attr = 5;
getNumberAttrBytes() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: if specified, attr must have type "int" string number_attr = 5;
getNumberAttrBytes() - 类中的方法org.tensorflow.framework.OpDef.ArgDef: if specified, attr must have type "int" string number_attr = 5;
getNumberAttrBytes() - 接口中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder: if specified, attr must have type "int" string number_attr = 5;
getNumBytes() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Size of value expected, must agree with BufRendezvous entry.
getNumBytes() - 类中的方法org.tensorflow.distruntime.RecvBufRequest: Size of value expected, must agree with BufRendezvous entry.
getNumBytes() - 接口中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder: Size of value expected, must agree with BufRendezvous entry.
getNumBytes() - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder: Byte length of buf_ptr field, if set.
getNumBytes() - 类中的方法org.tensorflow.distruntime.RecvBufResponse: Byte length of buf_ptr field, if set.
getNumBytes() - 接口中的方法org.tensorflow.distruntime.RecvBufResponseOrBuilder: Byte length of buf_ptr field, if set.
getNumBytes() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder: Number of bytes in the allocation.
getNumBytes() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation: Number of bytes in the allocation.
getNumBytes() - 接口中的方法org.tensorflow.framework.MemoryLogRawAllocationOrBuilder: Number of bytes in the allocation.
getNumChannels() - 类中的方法org.tensorflow.framework.Summary.Audio.Builder: Number of channels of audio.
getNumChannels() - 类中的方法org.tensorflow.framework.Summary.Audio: Number of channels of audio.
getNumChannels() - 接口中的方法org.tensorflow.framework.Summary.AudioOrBuilder: Number of channels of audio.
getNumCores() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Number of cores int64 num_cores = 5;
getNumCores() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties: Number of cores int64 num_cores = 5;
getNumCores() - 接口中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder: Number of cores int64 num_cores = 5;
getNumDevToDevCopyStreams() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: If > 1, the number of device-to-device copy streams to create for each GPUDevice.
getNumDevToDevCopyStreams() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental: If > 1, the number of device-to-device copy streams to create for each GPUDevice.
getNumDevToDevCopyStreams() - 接口中的方法org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder: If > 1, the number of device-to-device copy streams to create for each GPUDevice.
getNumRecordsProduced() - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder: int64 num_records_produced = 3;
getNumRecordsProduced() - 类中的方法org.tensorflow.framework.ReaderBaseState: int64 num_records_produced = 3;
getNumRecordsProduced() - 接口中的方法org.tensorflow.framework.ReaderBaseStateOrBuilder: int64 num_records_produced = 3;
getNumRegisters() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Number of registers per core.
getNumRegisters() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties: Number of registers per core.
getNumRegisters() - 接口中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder: Number of registers per core.
getNumReplicas() - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder: int32 num_replicas = 2;
getNumReplicas() - 类中的方法org.tensorflow.framework.AutoParallelOptions: int32 num_replicas = 2;
getNumReplicas() - 接口中的方法org.tensorflow.framework.AutoParallelOptionsOrBuilder: int32 num_replicas = 2;
getNumShards() - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder: Number of data files in the bundle.
getNumShards() - 类中的方法org.tensorflow.util.BundleHeaderProto: Number of data files in the bundle.
getNumShards() - 接口中的方法org.tensorflow.util.BundleHeaderProtoOrBuilder: Number of data files in the bundle.
getNumTasks() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: number of distinct tasks hosting the devices int32 num_tasks = 4;
getNumTasks() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse: number of distinct tasks hosting the devices int32 num_tasks = 4;
getNumTasks() - 接口中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder: number of distinct tasks hosting the devices int32 num_tasks = 4;
getNumThreads() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder: The number of threads in the pool. 0 means the system picks a value based on where this option proto is used (see the declaration of the specific field for more info).
getNumThreads() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto: The number of threads in the pool. 0 means the system picks a value based on where this option proto is used (see the declaration of the specific field for more info).
getNumThreads() - 接口中的方法org.tensorflow.framework.ThreadPoolOptionProtoOrBuilder: The number of threads in the pool. 0 means the system picks a value based on where this option proto is used (see the declaration of the specific field for more info).
getNumVersions() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder: Number of latest versions to serve.
getNumVersions() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest: Number of latest versions to serve.
getNumVersions() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.LatestOrBuilder: Number of latest versions to serve.
getObsoleteOldStyleHistogram() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: bytes obsolete_old_style_histogram = 3;
getObsoleteOldStyleHistogram() - 类中的方法org.tensorflow.framework.Summary.Value: bytes obsolete_old_style_histogram = 3;
getObsoleteOldStyleHistogram() - 接口中的方法org.tensorflow.framework.Summary.ValueOrBuilder: bytes obsolete_old_style_histogram = 3;
getOffset() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: int64 offset = 4;
getOffset() - 类中的方法org.tensorflow.util.BundleEntryProto: int64 offset = 4;
getOffset() - 接口中的方法org.tensorflow.util.BundleEntryProtoOrBuilder: int64 offset = 4;
getOp(int) - 类中的方法org.tensorflow.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
getOp(int) - 类中的方法org.tensorflow.framework.ApiDefs: repeated .tensorflow.ApiDef op = 1;
getOp(int) - 接口中的方法org.tensorflow.framework.ApiDefsOrBuilder: repeated .tensorflow.ApiDef op = 1;
getOp() - 类中的方法org.tensorflow.framework.KernelDef.Builder: Must match the name of an Op.
getOp() - 类中的方法org.tensorflow.framework.KernelDef: Must match the name of an Op.
getOp() - 接口中的方法org.tensorflow.framework.KernelDefOrBuilder: Must match the name of an Op.
getOp() - 类中的方法org.tensorflow.framework.NodeDef.Builder: The operation name.
getOp() - 类中的方法org.tensorflow.framework.NodeDef: The operation name.
getOp() - 接口中的方法org.tensorflow.framework.NodeDefOrBuilder: The operation name.
getOp(int) - 类中的方法org.tensorflow.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
getOp(int) - 类中的方法org.tensorflow.framework.OpList: repeated .tensorflow.OpDef op = 1;
getOp(int) - 接口中的方法org.tensorflow.framework.OpListOrBuilder: repeated .tensorflow.OpDef op = 1;
getOpBuilder(int) - 类中的方法org.tensorflow.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
getOpBuilder(int) - 类中的方法org.tensorflow.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
getOpBuilderList() - 类中的方法org.tensorflow.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
getOpBuilderList() - 类中的方法org.tensorflow.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
getOpBytes() - 类中的方法org.tensorflow.framework.KernelDef.Builder: Must match the name of an Op.
getOpBytes() - 类中的方法org.tensorflow.framework.KernelDef: Must match the name of an Op.
getOpBytes() - 接口中的方法org.tensorflow.framework.KernelDefOrBuilder: Must match the name of an Op.
getOpBytes() - 类中的方法org.tensorflow.framework.NodeDef.Builder: The operation name.
getOpBytes() - 类中的方法org.tensorflow.framework.NodeDef: The operation name.
getOpBytes() - 接口中的方法org.tensorflow.framework.NodeDefOrBuilder: The operation name.
getOpCount() - 类中的方法org.tensorflow.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
getOpCount() - 类中的方法org.tensorflow.framework.ApiDefs: repeated .tensorflow.ApiDef op = 1;
getOpCount() - 接口中的方法org.tensorflow.framework.ApiDefsOrBuilder: repeated .tensorflow.ApiDef op = 1;
getOpCount() - 类中的方法org.tensorflow.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
getOpCount() - 类中的方法org.tensorflow.framework.OpList: repeated .tensorflow.OpDef op = 1;
getOpCount() - 接口中的方法org.tensorflow.framework.OpListOrBuilder: repeated .tensorflow.OpDef op = 1;
getOpEndRelMicros() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 op_end_rel_micros = 4;
getOpEndRelMicros() - 类中的方法org.tensorflow.framework.NodeExecStats: int64 op_end_rel_micros = 4;
getOpEndRelMicros() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: int64 op_end_rel_micros = 4;
getOpEndRelNanos() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 op_end_rel_nanos = 15;
getOpEndRelNanos() - 类中的方法org.tensorflow.framework.NodeExecStats: int64 op_end_rel_nanos = 15;
getOpEndRelNanos() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: int64 op_end_rel_nanos = 15;
getOperation() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder: Name of the operation making the allocation.
getOperation() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation: Name of the operation making the allocation.
getOperation() - 接口中的方法org.tensorflow.framework.MemoryLogRawAllocationOrBuilder: Name of the operation making the allocation.
getOperation() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder: Name of the operation making the deallocation.
getOperation() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation: Name of the operation making the deallocation.
getOperation() - 接口中的方法org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder: Name of the operation making the deallocation.
getOperation() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder: .tensorflow.eager.Operation operation = 2;
getOperation() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem: .tensorflow.eager.Operation operation = 2;
getOperation() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder: .tensorflow.eager.Operation operation = 2;
getOperationBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder: .tensorflow.eager.Operation operation = 2;
getOperationBytes() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder: Name of the operation making the allocation.
getOperationBytes() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation: Name of the operation making the allocation.
getOperationBytes() - 接口中的方法org.tensorflow.framework.MemoryLogRawAllocationOrBuilder: Name of the operation making the allocation.
getOperationBytes() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder: Name of the operation making the deallocation.
getOperationBytes() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation: Name of the operation making the deallocation.
getOperationBytes() - 接口中的方法org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder: Name of the operation making the deallocation.
getOperationOrBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder: .tensorflow.eager.Operation operation = 2;
getOperationOrBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem: .tensorflow.eager.Operation operation = 2;
getOperationOrBuilder() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder: .tensorflow.eager.Operation operation = 2;
getOperationTimeoutInMs() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Global timeout for all blocking operations in this session.
getOperationTimeoutInMs() - 类中的方法org.tensorflow.framework.ConfigProto: Global timeout for all blocking operations in this session.
getOperationTimeoutInMs() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: Global timeout for all blocking operations in this session.
getOpId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder: The ID of the operation that produced this tensor.
getOpId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle: The ID of the operation that produced this tensor.
getOpId() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandleOrBuilder: The ID of the operation that produced this tensor.
getOpId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: All remote tensors are identified by <Op ID, Output num>.
getOpId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest: All remote tensors are identified by <Op ID, Output num>.
getOpId() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequestOrBuilder: All remote tensors are identified by <Op ID, Output num>.
getOpId(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder: Ids to wait on.
getOpId(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest: Ids to wait on.
getOpId(int) - 接口中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequestOrBuilder: Ids to wait on.
getOpIdCount() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder: Ids to wait on.
getOpIdCount() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest: Ids to wait on.
getOpIdCount() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequestOrBuilder: Ids to wait on.
getOpIdList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder: Ids to wait on.
getOpIdList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest: Ids to wait on.
getOpIdList() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequestOrBuilder: Ids to wait on.
getOpList() - 类中的方法org.tensorflow.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
getOpList() - 类中的方法org.tensorflow.framework.ApiDefs: repeated .tensorflow.ApiDef op = 1;
getOpList() - 接口中的方法org.tensorflow.framework.ApiDefsOrBuilder: repeated .tensorflow.ApiDef op = 1;
getOpList() - 类中的方法org.tensorflow.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
getOpList() - 类中的方法org.tensorflow.framework.OpList: repeated .tensorflow.OpDef op = 1;
getOpList() - 接口中的方法org.tensorflow.framework.OpListOrBuilder: repeated .tensorflow.OpDef op = 1;
getOpOrBuilder(int) - 类中的方法org.tensorflow.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
getOpOrBuilder(int) - 类中的方法org.tensorflow.framework.ApiDefs: repeated .tensorflow.ApiDef op = 1;
getOpOrBuilder(int) - 接口中的方法org.tensorflow.framework.ApiDefsOrBuilder: repeated .tensorflow.ApiDef op = 1;
getOpOrBuilder(int) - 类中的方法org.tensorflow.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
getOpOrBuilder(int) - 类中的方法org.tensorflow.framework.OpList: repeated .tensorflow.OpDef op = 1;
getOpOrBuilder(int) - 接口中的方法org.tensorflow.framework.OpListOrBuilder: repeated .tensorflow.OpDef op = 1;
getOpOrBuilderList() - 类中的方法org.tensorflow.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
getOpOrBuilderList() - 类中的方法org.tensorflow.framework.ApiDefs: repeated .tensorflow.ApiDef op = 1;
getOpOrBuilderList() - 接口中的方法org.tensorflow.framework.ApiDefsOrBuilder: repeated .tensorflow.ApiDef op = 1;
getOpOrBuilderList() - 类中的方法org.tensorflow.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
getOpOrBuilderList() - 类中的方法org.tensorflow.framework.OpList: repeated .tensorflow.OpDef op = 1;
getOpOrBuilderList() - 接口中的方法org.tensorflow.framework.OpListOrBuilder: repeated .tensorflow.OpDef op = 1;
getOpStartRelMicros() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 op_start_rel_micros = 3;
getOpStartRelMicros() - 类中的方法org.tensorflow.framework.NodeExecStats: int64 op_start_rel_micros = 3;
getOpStartRelMicros() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: int64 op_start_rel_micros = 3;
getOpStartRelNanos() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 op_start_rel_nanos = 14;
getOpStartRelNanos() - 类中的方法org.tensorflow.framework.NodeExecStats: int64 op_start_rel_nanos = 14;
getOpStartRelNanos() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: int64 op_start_rel_nanos = 14;
getOptimizerOptions() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: Options controlling how graph is optimized.
getOptimizerOptions() - 类中的方法org.tensorflow.framework.GraphOptions: Options controlling how graph is optimized.
getOptimizerOptions() - 接口中的方法org.tensorflow.framework.GraphOptionsOrBuilder: Options controlling how graph is optimized.
getOptimizerOptionsBuilder() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: Options controlling how graph is optimized.
getOptimizerOptionsOrBuilder() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: Options controlling how graph is optimized.
getOptimizerOptionsOrBuilder() - 类中的方法org.tensorflow.framework.GraphOptions: Options controlling how graph is optimized.
getOptimizerOptionsOrBuilder() - 接口中的方法org.tensorflow.framework.GraphOptionsOrBuilder: Options controlling how graph is optimized.
getOptimizers(int) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizers(int) - 类中的方法org.tensorflow.framework.RewriterConfig: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizers(int) - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersBytes(int) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersBytes(int) - 类中的方法org.tensorflow.framework.RewriterConfig: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersBytes(int) - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersCount() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersCount() - 类中的方法org.tensorflow.framework.RewriterConfig: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersCount() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersList() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersList() - 类中的方法org.tensorflow.framework.RewriterConfig: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersList() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptions() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder: Options that define the behavior of the created callable.
getOptions() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest: Options that define the behavior of the created callable.
getOptions() - 接口中的方法org.tensorflow.distruntime.MakeCallableRequestOrBuilder: Options that define the behavior of the created callable.
getOptions() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Options for the run call.
getOptions() - 类中的方法org.tensorflow.distruntime.RunStepRequest: Options for the run call.
getOptions() - 接口中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder: Options for the run call.
getOptions() - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder: .tensorflow.TraceOpts options = 1;
getOptions() - 类中的方法org.tensorflow.distruntime.TracingRequest: .tensorflow.TraceOpts options = 1;
getOptions() - 接口中的方法org.tensorflow.distruntime.TracingRequestOrBuilder: .tensorflow.TraceOpts options = 1;
getOptions() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Options for the run call.
getOptions() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest: Options for the run call.
getOptions() - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder: Options for the run call.
getOptionsBuilder() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder: Options that define the behavior of the created callable.
getOptionsBuilder() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Options for the run call.
getOptionsBuilder() - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder: .tensorflow.TraceOpts options = 1;
getOptionsBuilder() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Options for the run call.
getOptionsOrBuilder() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder: Options that define the behavior of the created callable.
getOptionsOrBuilder() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest: Options that define the behavior of the created callable.
getOptionsOrBuilder() - 接口中的方法org.tensorflow.distruntime.MakeCallableRequestOrBuilder: Options that define the behavior of the created callable.
getOptionsOrBuilder() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Options for the run call.
getOptionsOrBuilder() - 类中的方法org.tensorflow.distruntime.RunStepRequest: Options for the run call.
getOptionsOrBuilder() - 接口中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder: Options for the run call.
getOptionsOrBuilder() - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder: .tensorflow.TraceOpts options = 1;
getOptionsOrBuilder() - 类中的方法org.tensorflow.distruntime.TracingRequest: .tensorflow.TraceOpts options = 1;
getOptionsOrBuilder() - 接口中的方法org.tensorflow.distruntime.TracingRequestOrBuilder: .tensorflow.TraceOpts options = 1;
getOptionsOrBuilder() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Options for the run call.
getOptionsOrBuilder() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest: Options for the run call.
getOptionsOrBuilder() - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder: Options for the run call.
getOptLevel() - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder: Overall optimization level.
getOptLevel() - 类中的方法org.tensorflow.framework.OptimizerOptions: Overall optimization level.
getOptLevel() - 接口中的方法org.tensorflow.framework.OptimizerOptionsOrBuilder: Overall optimization level.
getOptLevelValue() - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder: Overall optimization level.
getOptLevelValue() - 类中的方法org.tensorflow.framework.OptimizerOptions: Overall optimization level.
getOptLevelValue() - 接口中的方法org.tensorflow.framework.OptimizerOptionsOrBuilder: Overall optimization level.
getOriginalVariableNodeId() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder: An index into `CheckpointableObjectGraph.nodes`, indicating the variable object this slot was created for.
getOriginalVariableNodeId() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference: An index into `CheckpointableObjectGraph.nodes`, indicating the variable object this slot was created for.
getOriginalVariableNodeId() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReferenceOrBuilder: An index into `CheckpointableObjectGraph.nodes`, indicating the variable object this slot was created for.
getOutArg(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArg(int) - 类中的方法org.tensorflow.framework.ApiDef: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArg(int) - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgBuilder(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgBuilderList() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgCount() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgCount() - 类中的方法org.tensorflow.framework.ApiDef: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgCount() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgList() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgList() - 类中的方法org.tensorflow.framework.ApiDef: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgList() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgOrBuilder(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgOrBuilder(int) - 类中的方法org.tensorflow.framework.ApiDef: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgOrBuilder(int) - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgOrBuilderList() - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgOrBuilderList() - 类中的方法org.tensorflow.framework.ApiDef: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgOrBuilderList() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutput(int) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
getOutput(int) - 类中的方法org.tensorflow.framework.NodeExecStats: repeated .tensorflow.NodeOutput output = 7;
getOutput(int) - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: repeated .tensorflow.NodeOutput output = 7;
getOutputArg(int) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the output(s).
getOutputArg(int) - 类中的方法org.tensorflow.framework.OpDef: Description of the output(s).
getOutputArg(int) - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: Description of the output(s).
getOutputArgBuilder(int) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the output(s).
getOutputArgBuilderList() - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the output(s).
getOutputArgCount() - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the output(s).
getOutputArgCount() - 类中的方法org.tensorflow.framework.OpDef: Description of the output(s).
getOutputArgCount() - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: Description of the output(s).
getOutputArgList() - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the output(s).
getOutputArgList() - 类中的方法org.tensorflow.framework.OpDef: Description of the output(s).
getOutputArgList() - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: Description of the output(s).
getOutputArgOrBuilder(int) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the output(s).
getOutputArgOrBuilder(int) - 类中的方法org.tensorflow.framework.OpDef: Description of the output(s).
getOutputArgOrBuilder(int) - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: Description of the output(s).
getOutputArgOrBuilderList() - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the output(s).
getOutputArgOrBuilderList() - 类中的方法org.tensorflow.framework.OpDef: Description of the output(s).
getOutputArgOrBuilderList() - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: Description of the output(s).
getOutputBuilder(int) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
getOutputBuilderList() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
getOutputCount() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: int32 output_count = 7;
getOutputCount() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo: int32 output_count = 7;
getOutputCount() - 接口中的方法org.tensorflow.framework.GraphTransferNodeInfoOrBuilder: int32 output_count = 7;
getOutputCount() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
getOutputCount() - 类中的方法org.tensorflow.framework.NodeExecStats: repeated .tensorflow.NodeOutput output = 7;
getOutputCount() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: repeated .tensorflow.NodeOutput output = 7;
getOutputFilter(int) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Output filter.
getOutputFilter(int) - 类中的方法tensorflow.serving.Predict.PredictRequest: Output filter.
getOutputFilter(int) - 接口中的方法tensorflow.serving.Predict.PredictRequestOrBuilder: Output filter.
getOutputFilterBytes(int) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Output filter.
getOutputFilterBytes(int) - 类中的方法tensorflow.serving.Predict.PredictRequest: Output filter.
getOutputFilterBytes(int) - 接口中的方法tensorflow.serving.Predict.PredictRequestOrBuilder: Output filter.
getOutputFilterCount() - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Output filter.
getOutputFilterCount() - 类中的方法tensorflow.serving.Predict.PredictRequest: Output filter.
getOutputFilterCount() - 接口中的方法tensorflow.serving.Predict.PredictRequestOrBuilder: Output filter.
getOutputFilterList() - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Output filter.
getOutputFilterList() - 类中的方法tensorflow.serving.Predict.PredictRequest: Output filter.
getOutputFilterList() - 接口中的方法tensorflow.serving.Predict.PredictRequestOrBuilder: Output filter.
getOutputInfo(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfo(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfo(int) - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoBuilder(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoBuilderList() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoCount() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoCount() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoCount() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoList() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoList() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoList() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoOrBuilder(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoOrBuilder(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoOrBuilder(int) - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoOrBuilderList() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoOrBuilderList() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoOrBuilderList() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputList() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
getOutputList() - 类中的方法org.tensorflow.framework.NodeExecStats: repeated .tensorflow.NodeOutput output = 7;
getOutputList() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: repeated .tensorflow.NodeOutput output = 7;
getOutputNum() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder: The index into the outputs of the operation that produced this tensor.
getOutputNum() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle: The index into the outputs of the operation that produced this tensor.
getOutputNum() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandleOrBuilder: The index into the outputs of the operation that produced this tensor.
getOutputOrBuilder(int) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
getOutputOrBuilder(int) - 类中的方法org.tensorflow.framework.NodeExecStats: repeated .tensorflow.NodeOutput output = 7;
getOutputOrBuilder(int) - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: repeated .tensorflow.NodeOutput output = 7;
getOutputOrBuilderList() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
getOutputOrBuilderList() - 类中的方法org.tensorflow.framework.NodeExecStats: repeated .tensorflow.NodeOutput output = 7;
getOutputOrBuilderList() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: repeated .tensorflow.NodeOutput output = 7;
getOutputPartitionGraphs() - 类中的方法org.tensorflow.framework.RunOptions.Builder: Whether the partition graph(s) executed by the executor(s) should be outputted via RunMetadata.
getOutputPartitionGraphs() - 类中的方法org.tensorflow.framework.RunOptions: Whether the partition graph(s) executed by the executor(s) should be outputted via RunMetadata.
getOutputPartitionGraphs() - 接口中的方法org.tensorflow.framework.RunOptionsOrBuilder: Whether the partition graph(s) executed by the executor(s) should be outputted via RunMetadata.
getOutputPort() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder: int32 output_port = 2;
getOutputPort() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput: int32 output_port = 2;
getOutputPort() - 接口中的方法org.tensorflow.framework.GraphTransferNodeInputOrBuilder: int32 output_port = 2;
getOutputs() - 类中的方法org.tensorflow.framework.SignatureDef.Builder: 已过时。
getOutputs() - 类中的方法org.tensorflow.framework.SignatureDef: 已过时。
getOutputs() - 接口中的方法org.tensorflow.framework.SignatureDefOrBuilder: 已过时。
getOutputs() - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder: 已过时。
getOutputs() - 类中的方法tensorflow.serving.Predict.PredictResponse: 已过时。
getOutputs() - 接口中的方法tensorflow.serving.Predict.PredictResponseOrBuilder: 已过时。
getOutputsCount() - 类中的方法org.tensorflow.framework.SignatureDef.Builder
getOutputsCount() - 类中的方法org.tensorflow.framework.SignatureDef
getOutputsCount() - 接口中的方法org.tensorflow.framework.SignatureDefOrBuilder: Named output parameters.
getOutputsCount() - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder
getOutputsCount() - 类中的方法tensorflow.serving.Predict.PredictResponse
getOutputsCount() - 接口中的方法tensorflow.serving.Predict.PredictResponseOrBuilder: Output tensors.
getOutputSlot() - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: Output slot to watch.
getOutputSlot() - 类中的方法org.tensorflow.framework.DebugTensorWatch: Output slot to watch.
getOutputSlot() - 接口中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder: Output slot to watch.
getOutputsMap() - 类中的方法org.tensorflow.framework.SignatureDef.Builder: Named output parameters.
getOutputsMap() - 类中的方法org.tensorflow.framework.SignatureDef: Named output parameters.
getOutputsMap() - 接口中的方法org.tensorflow.framework.SignatureDefOrBuilder: Named output parameters.
getOutputsMap() - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder: Output tensors.
getOutputsMap() - 类中的方法tensorflow.serving.Predict.PredictResponse: Output tensors.
getOutputsMap() - 接口中的方法tensorflow.serving.Predict.PredictResponseOrBuilder: Output tensors.
getOutputsOrDefault(String, TensorInfo) - 类中的方法org.tensorflow.framework.SignatureDef.Builder: Named output parameters.
getOutputsOrDefault(String, TensorInfo) - 类中的方法org.tensorflow.framework.SignatureDef: Named output parameters.
getOutputsOrDefault(String, TensorInfo) - 接口中的方法org.tensorflow.framework.SignatureDefOrBuilder: Named output parameters.
getOutputsOrDefault(String, TensorProto) - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder: Output tensors.
getOutputsOrDefault(String, TensorProto) - 类中的方法tensorflow.serving.Predict.PredictResponse: Output tensors.
getOutputsOrDefault(String, TensorProto) - 接口中的方法tensorflow.serving.Predict.PredictResponseOrBuilder: Output tensors.
getOutputsOrThrow(String) - 类中的方法org.tensorflow.framework.SignatureDef.Builder: Named output parameters.
getOutputsOrThrow(String) - 类中的方法org.tensorflow.framework.SignatureDef: Named output parameters.
getOutputsOrThrow(String) - 接口中的方法org.tensorflow.framework.SignatureDefOrBuilder: Named output parameters.
getOutputsOrThrow(String) - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder: Output tensors.
getOutputsOrThrow(String) - 类中的方法tensorflow.serving.Predict.PredictResponse: Output tensors.
getOutputsOrThrow(String) - 接口中的方法tensorflow.serving.Predict.PredictResponseOrBuilder: Output tensors.
getPaddingId() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: int32 padding_id = 5;
getPaddingId() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo: int32 padding_id = 5;
getPaddingId() - 接口中的方法org.tensorflow.framework.GraphTransferNodeInfoOrBuilder: int32 padding_id = 5;
getParallelIterations() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: The number of iterations allowed to run in parallel.
getParallelIterations() - 类中的方法org.tensorflow.framework.WhileContextDef: The number of iterations allowed to run in parallel.
getParallelIterations() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: The number of iterations allowed to run in parallel.
getParameterMap() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder: 已过时。
getParameterMap() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer: 已过时。
getParameterMap() - 接口中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder: 已过时。
getParameterMapCount() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
getParameterMapCount() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
getParameterMapCount() - 接口中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapMap() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapMap() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapMap() - 接口中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapOrDefault(String, AttrValue) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapOrDefault(String, AttrValue) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapOrDefault(String, AttrValue) - 接口中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapOrThrow(String) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapOrThrow(String) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapOrThrow(String) - 接口中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParserForType() - 类中的方法org.tensorflow.distruntime.CleanupAllRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.CleanupAllResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.CloseSessionRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.CloseSessionResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.ClusterDef
getParserForType() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.ExecutorOpts
getParserForType() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.GetStatusRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.GetStatusResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.JobDef
getParserForType() - 类中的方法org.tensorflow.distruntime.LabeledStepStats
getParserForType() - 类中的方法org.tensorflow.distruntime.ListDevicesRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.LoggingRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.LoggingResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.MakeCallableResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.RecvBufRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.RecvBufResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.ResetRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.ResetResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.RunCallableRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.RunCallableResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.RunGraphRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.RunGraphResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.RunStepRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.RunStepResponse
getParserForType() - 类中的方法org.tensorflow.distruntime.ServerDef
getParserForType() - 类中的方法org.tensorflow.distruntime.StepSequence
getParserForType() - 类中的方法org.tensorflow.distruntime.TraceOpts
getParserForType() - 类中的方法org.tensorflow.distruntime.TracingRequest
getParserForType() - 类中的方法org.tensorflow.distruntime.TracingResponse
getParserForType() - 类中的方法org.tensorflow.example.BytesList
getParserForType() - 类中的方法org.tensorflow.example.Example
getParserForType() - 类中的方法org.tensorflow.example.ExampleParserConfiguration
getParserForType() - 类中的方法org.tensorflow.example.Feature
getParserForType() - 类中的方法org.tensorflow.example.FeatureConfiguration
getParserForType() - 类中的方法org.tensorflow.example.FeatureList
getParserForType() - 类中的方法org.tensorflow.example.FeatureLists
getParserForType() - 类中的方法org.tensorflow.example.Features
getParserForType() - 类中的方法org.tensorflow.example.FixedLenFeatureProto
getParserForType() - 类中的方法org.tensorflow.example.FloatList
getParserForType() - 类中的方法org.tensorflow.example.Int64List
getParserForType() - 类中的方法org.tensorflow.example.SequenceExample
getParserForType() - 类中的方法org.tensorflow.example.VarLenFeatureProto
getParserForType() - 类中的方法org.tensorflow.framework.AllocationDescription
getParserForType() - 类中的方法org.tensorflow.framework.AllocationRecord
getParserForType() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed
getParserForType() - 类中的方法org.tensorflow.framework.ApiDef.Arg
getParserForType() - 类中的方法org.tensorflow.framework.ApiDef.Attr
getParserForType() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint
getParserForType() - 类中的方法org.tensorflow.framework.ApiDef
getParserForType() - 类中的方法org.tensorflow.framework.ApiDefs
getParserForType() - 类中的方法org.tensorflow.framework.AssetFileDef
getParserForType() - 类中的方法org.tensorflow.framework.AttrValue
getParserForType() - 类中的方法org.tensorflow.framework.AttrValue.ListValue
getParserForType() - 类中的方法org.tensorflow.framework.AutoParallelOptions
getParserForType() - 类中的方法org.tensorflow.framework.CallableOptions
getParserForType() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList
getParserForType() - 类中的方法org.tensorflow.framework.CollectionDef.BytesList
getParserForType() - 类中的方法org.tensorflow.framework.CollectionDef.FloatList
getParserForType() - 类中的方法org.tensorflow.framework.CollectionDef
getParserForType() - 类中的方法org.tensorflow.framework.CollectionDef.Int64List
getParserForType() - 类中的方法org.tensorflow.framework.CollectionDef.NodeList
getParserForType() - 类中的方法org.tensorflow.framework.CondContextDef
getParserForType() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental
getParserForType() - 类中的方法org.tensorflow.framework.ConfigProto
getParserForType() - 类中的方法org.tensorflow.framework.ControlFlowContextDef
getParserForType() - 类中的方法org.tensorflow.framework.CostGraphDef
getParserForType() - 类中的方法org.tensorflow.framework.CostGraphDef.Node
getParserForType() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
getParserForType() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
getParserForType() - 类中的方法org.tensorflow.framework.CriticalSectionDef
getParserForType() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef
getParserForType() - 类中的方法org.tensorflow.framework.DebuggedSourceFile
getParserForType() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles
getParserForType() - 类中的方法org.tensorflow.framework.DebugOptions
getParserForType() - 类中的方法org.tensorflow.framework.DebugTensorWatch
getParserForType() - 类中的方法org.tensorflow.framework.DeviceAttributes
getParserForType() - 类中的方法org.tensorflow.framework.DeviceLocality
getParserForType() - 类中的方法org.tensorflow.framework.DeviceStepStats
getParserForType() - 类中的方法org.tensorflow.framework.FunctionDef
getParserForType() - 类中的方法org.tensorflow.framework.FunctionDefLibrary
getParserForType() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental
getParserForType() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
getParserForType() - 类中的方法org.tensorflow.framework.GPUOptions
getParserForType() - 类中的方法org.tensorflow.framework.GradientDef
getParserForType() - 类中的方法org.tensorflow.framework.GraphDef
getParserForType() - 类中的方法org.tensorflow.framework.GraphOptions
getParserForType() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
getParserForType() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
getParserForType() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
getParserForType() - 类中的方法org.tensorflow.framework.GraphTransferInfo
getParserForType() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo
getParserForType() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput
getParserForType() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo
getParserForType() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo
getParserForType() - 类中的方法org.tensorflow.framework.HistogramProto
getParserForType() - 类中的方法org.tensorflow.framework.InterconnectLink
getParserForType() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint
getParserForType() - 类中的方法org.tensorflow.framework.KernelDef
getParserForType() - 类中的方法org.tensorflow.framework.KernelList
getParserForType() - 类中的方法org.tensorflow.framework.LocalLinks
getParserForType() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation
getParserForType() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation
getParserForType() - 类中的方法org.tensorflow.framework.MemoryLogStep
getParserForType() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation
getParserForType() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation
getParserForType() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput
getParserForType() - 类中的方法org.tensorflow.framework.MemoryStats
getParserForType() - 类中的方法org.tensorflow.framework.MetaGraphDef
getParserForType() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
getParserForType() - 类中的方法org.tensorflow.framework.NameAttrList
getParserForType() - 类中的方法org.tensorflow.framework.NamedTensorProto
getParserForType() - 类中的方法org.tensorflow.framework.NodeDef
getParserForType() - 类中的方法org.tensorflow.framework.NodeExecStats
getParserForType() - 类中的方法org.tensorflow.framework.NodeOutput
getParserForType() - 类中的方法org.tensorflow.framework.OpDef.ArgDef
getParserForType() - 类中的方法org.tensorflow.framework.OpDef.AttrDef
getParserForType() - 类中的方法org.tensorflow.framework.OpDef
getParserForType() - 类中的方法org.tensorflow.framework.OpDeprecation
getParserForType() - 类中的方法org.tensorflow.framework.OpList
getParserForType() - 类中的方法org.tensorflow.framework.OptimizerOptions
getParserForType() - 类中的方法org.tensorflow.framework.QueueRunnerDef
getParserForType() - 类中的方法org.tensorflow.framework.ReaderBaseState
getParserForType() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
getParserForType() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
getParserForType() - 类中的方法org.tensorflow.framework.ResourceHandleProto
getParserForType() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
getParserForType() - 类中的方法org.tensorflow.framework.RewriterConfig
getParserForType() - 类中的方法org.tensorflow.framework.RPCOptions
getParserForType() - 类中的方法org.tensorflow.framework.RunMetadata
getParserForType() - 类中的方法org.tensorflow.framework.RunOptions.Experimental
getParserForType() - 类中的方法org.tensorflow.framework.RunOptions
getParserForType() - 类中的方法org.tensorflow.framework.SavedModel
getParserForType() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef
getParserForType() - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions
getParserForType() - 类中的方法org.tensorflow.framework.SignatureDef
getParserForType() - 类中的方法org.tensorflow.framework.StepStats
getParserForType() - 类中的方法org.tensorflow.framework.Summary.Audio
getParserForType() - 类中的方法org.tensorflow.framework.Summary
getParserForType() - 类中的方法org.tensorflow.framework.Summary.Image
getParserForType() - 类中的方法org.tensorflow.framework.Summary.Value
getParserForType() - 类中的方法org.tensorflow.framework.SummaryDescription
getParserForType() - 类中的方法org.tensorflow.framework.SummaryMetadata
getParserForType() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData
getParserForType() - 类中的方法org.tensorflow.framework.TensorConnection
getParserForType() - 类中的方法org.tensorflow.framework.TensorDescription
getParserForType() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse
getParserForType() - 类中的方法org.tensorflow.framework.TensorInfo
getParserForType() - 类中的方法org.tensorflow.framework.TensorProto
getParserForType() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim
getParserForType() - 类中的方法org.tensorflow.framework.TensorShapeProto
getParserForType() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent
getParserForType() - 类中的方法org.tensorflow.framework.TensorSliceProto
getParserForType() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto
getParserForType() - 类中的方法org.tensorflow.framework.ValuesDef
getParserForType() - 类中的方法org.tensorflow.framework.VariableDef
getParserForType() - 类中的方法org.tensorflow.framework.VariantTensorDataProto
getParserForType() - 类中的方法org.tensorflow.framework.VersionDef
getParserForType() - 类中的方法org.tensorflow.framework.WhileContextDef
getParserForType() - 类中的方法org.tensorflow.util.BundleEntryProto
getParserForType() - 类中的方法org.tensorflow.util.BundleHeaderProto
getParserForType() - 类中的方法org.tensorflow.util.IteratorStateMetadata
getParserForType() - 类中的方法org.tensorflow.util.SaverDef
getParserForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
getParserForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
getParserForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
getParserForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
getParserForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
getParserForType() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
getParserForType() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice
getParserForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
getParserForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
getParserForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
getParserForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
getParserForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
getParserForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
getParserForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
getParserForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
getParserForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation
getParserForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem
getParserForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
getParserForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
getParserForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
getParserForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
getParserForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
getParserForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
getParserForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
getParserForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
getParserForType() - 类中的方法tensorflow.serving.Classification.Class
getParserForType() - 类中的方法tensorflow.serving.Classification.ClassificationRequest
getParserForType() - 类中的方法tensorflow.serving.Classification.ClassificationResponse
getParserForType() - 类中的方法tensorflow.serving.Classification.ClassificationResult
getParserForType() - 类中的方法tensorflow.serving.Classification.Classifications
getParserForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
getParserForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
getParserForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
getParserForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
getParserForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
getParserForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
getParserForType() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
getParserForType() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
getParserForType() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
getParserForType() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
getParserForType() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
getParserForType() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus
getParserForType() - 类中的方法tensorflow.serving.Inference.InferenceResult
getParserForType() - 类中的方法tensorflow.serving.Inference.InferenceTask
getParserForType() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest
getParserForType() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse
getParserForType() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList
getParserForType() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
getParserForType() - 类中的方法tensorflow.serving.InputOuterClass.Input
getParserForType() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
getParserForType() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
getParserForType() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
getParserForType() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
getParserForType() - 类中的方法tensorflow.serving.Logging.LogMetadata
getParserForType() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
getParserForType() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
getParserForType() - 类中的方法tensorflow.serving.Model.ModelSpec
getParserForType() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest
getParserForType() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse
getParserForType() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
getParserForType() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
getParserForType() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
getParserForType() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
getParserForType() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
getParserForType() - 类中的方法tensorflow.serving.Predict.PredictRequest
getParserForType() - 类中的方法tensorflow.serving.Predict.PredictResponse
getParserForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
getParserForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
getParserForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
getParserForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog
getParserForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog
getParserForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
getParserForType() - 类中的方法tensorflow.serving.RegressionOuterClass.Regression
getParserForType() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest
getParserForType() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse
getParserForType() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult
getParserForType() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
getParserForType() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
getParserForType() - 类中的方法tensorflow.serving.SslConfig.SSLConfig
getParserForType() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
getParserForType() - 类中的方法tensorflow.serving.Status.StatusProto
getParserForType() - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra
getPartialRunHandle() - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder: The unique handle corresponding to the ongoing partial run call setup by the invocation to PartialRunSetup.
getPartialRunHandle() - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse: The unique handle corresponding to the ongoing partial run call setup by the invocation to PartialRunSetup.
getPartialRunHandle() - 接口中的方法org.tensorflow.distruntime.PartialRunSetupResponseOrBuilder: The unique handle corresponding to the ongoing partial run call setup by the invocation to PartialRunSetup.
getPartialRunHandle() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Partial run handle (optional).
getPartialRunHandle() - 类中的方法org.tensorflow.distruntime.RunStepRequest: Partial run handle (optional).
getPartialRunHandle() - 接口中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder: Partial run handle (optional).
getPartialRunHandleBytes() - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder: The unique handle corresponding to the ongoing partial run call setup by the invocation to PartialRunSetup.
getPartialRunHandleBytes() - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse: The unique handle corresponding to the ongoing partial run call setup by the invocation to PartialRunSetup.
getPartialRunHandleBytes() - 接口中的方法org.tensorflow.distruntime.PartialRunSetupResponseOrBuilder: The unique handle corresponding to the ongoing partial run call setup by the invocation to PartialRunSetup.
getPartialRunHandleBytes() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Partial run handle (optional).
getPartialRunHandleBytes() - 类中的方法org.tensorflow.distruntime.RunStepRequest: Partial run handle (optional).
getPartialRunHandleBytes() - 接口中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder: Partial run handle (optional).
getPartialRunSetupMethod() - 类中的静态方法org.tensorflow.distruntime.MasterServiceGrpc
getPartitionGraph(int) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: repeated .tensorflow.GraphDef partition_graph = 4;
getPartitionGraph(int) - 类中的方法org.tensorflow.distruntime.RunGraphResponse: repeated .tensorflow.GraphDef partition_graph = 4;
getPartitionGraph(int) - 接口中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder: repeated .tensorflow.GraphDef partition_graph = 4;
getPartitionGraphBuilder(int) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: repeated .tensorflow.GraphDef partition_graph = 4;
getPartitionGraphBuilderList() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: repeated .tensorflow.GraphDef partition_graph = 4;
getPartitionGraphCount() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: repeated .tensorflow.GraphDef partition_graph = 4;
getPartitionGraphCount() - 类中的方法org.tensorflow.distruntime.RunGraphResponse: repeated .tensorflow.GraphDef partition_graph = 4;
getPartitionGraphCount() - 接口中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder: repeated .tensorflow.GraphDef partition_graph = 4;
getPartitionGraphList() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: repeated .tensorflow.GraphDef partition_graph = 4;
getPartitionGraphList() - 类中的方法org.tensorflow.distruntime.RunGraphResponse: repeated .tensorflow.GraphDef partition_graph = 4;
getPartitionGraphList() - 接口中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder: repeated .tensorflow.GraphDef partition_graph = 4;
getPartitionGraphOrBuilder(int) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: repeated .tensorflow.GraphDef partition_graph = 4;
getPartitionGraphOrBuilder(int) - 类中的方法org.tensorflow.distruntime.RunGraphResponse: repeated .tensorflow.GraphDef partition_graph = 4;
getPartitionGraphOrBuilder(int) - 接口中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder: repeated .tensorflow.GraphDef partition_graph = 4;
getPartitionGraphOrBuilderList() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: repeated .tensorflow.GraphDef partition_graph = 4;
getPartitionGraphOrBuilderList() - 类中的方法org.tensorflow.distruntime.RunGraphResponse: repeated .tensorflow.GraphDef partition_graph = 4;
getPartitionGraphOrBuilderList() - 接口中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder: repeated .tensorflow.GraphDef partition_graph = 4;
getPartitionGraphs(int) - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
getPartitionGraphs(int) - 类中的方法org.tensorflow.framework.RunMetadata: Graphs of the partitions executed by executors.
getPartitionGraphs(int) - 接口中的方法org.tensorflow.framework.RunMetadataOrBuilder: Graphs of the partitions executed by executors.
getPartitionGraphsBuilder(int) - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
getPartitionGraphsBuilderList() - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
getPartitionGraphsCount() - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
getPartitionGraphsCount() - 类中的方法org.tensorflow.framework.RunMetadata: Graphs of the partitions executed by executors.
getPartitionGraphsCount() - 接口中的方法org.tensorflow.framework.RunMetadataOrBuilder: Graphs of the partitions executed by executors.
getPartitionGraphsList() - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
getPartitionGraphsList() - 类中的方法org.tensorflow.framework.RunMetadata: Graphs of the partitions executed by executors.
getPartitionGraphsList() - 接口中的方法org.tensorflow.framework.RunMetadataOrBuilder: Graphs of the partitions executed by executors.
getPartitionGraphsOrBuilder(int) - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
getPartitionGraphsOrBuilder(int) - 类中的方法org.tensorflow.framework.RunMetadata: Graphs of the partitions executed by executors.
getPartitionGraphsOrBuilder(int) - 接口中的方法org.tensorflow.framework.RunMetadataOrBuilder: Graphs of the partitions executed by executors.
getPartitionGraphsOrBuilderList() - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
getPartitionGraphsOrBuilderList() - 类中的方法org.tensorflow.framework.RunMetadata: Graphs of the partitions executed by executors.
getPartitionGraphsOrBuilderList() - 接口中的方法org.tensorflow.framework.RunMetadataOrBuilder: Graphs of the partitions executed by executors.
getPeakBytes() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: int64 peak_bytes = 3;
getPeakBytes() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed: int64 peak_bytes = 3;
getPeakBytes() - 接口中的方法org.tensorflow.framework.AllocatorMemoryUsedOrBuilder: int64 peak_bytes = 3;
getPerProcessGpuMemoryFraction() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: Fraction of the available GPU memory to allocate for each process. 1 means to allocate all of the GPU memory, 0.5 means the process allocates up to ~50% of the available GPU memory.
getPerProcessGpuMemoryFraction() - 类中的方法org.tensorflow.framework.GPUOptions: Fraction of the available GPU memory to allocate for each process. 1 means to allocate all of the GPU memory, 0.5 means the process allocates up to ~50% of the available GPU memory.
getPerProcessGpuMemoryFraction() - 接口中的方法org.tensorflow.framework.GPUOptionsOrBuilder: Fraction of the available GPU memory to allocate for each process. 1 means to allocate all of the GPU memory, 0.5 means the process allocates up to ~50% of the available GPU memory.
getPersistentMemorySize() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Persistent memory used by this node.
getPersistentMemorySize() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: Persistent memory used by this node.
getPersistentMemorySize() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: Persistent memory used by this node.
getPersistentMemorySize() - 类中的方法org.tensorflow.framework.MemoryStats.Builder: int64 persistent_memory_size = 3;
getPersistentMemorySize() - 类中的方法org.tensorflow.framework.MemoryStats: int64 persistent_memory_size = 3;
getPersistentMemorySize() - 接口中的方法org.tensorflow.framework.MemoryStatsOrBuilder: int64 persistent_memory_size = 3;
getPersistentTensorAllocIds(int) - 类中的方法org.tensorflow.framework.MemoryStats.Builder: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIds(int) - 类中的方法org.tensorflow.framework.MemoryStats: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIds(int) - 接口中的方法org.tensorflow.framework.MemoryStatsOrBuilder: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIdsCount() - 类中的方法org.tensorflow.framework.MemoryStats.Builder: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIdsCount() - 类中的方法org.tensorflow.framework.MemoryStats: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIdsCount() - 接口中的方法org.tensorflow.framework.MemoryStatsOrBuilder: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIdsList() - 类中的方法org.tensorflow.framework.MemoryStats.Builder: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIdsList() - 类中的方法org.tensorflow.framework.MemoryStats: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIdsList() - 接口中的方法org.tensorflow.framework.MemoryStatsOrBuilder: repeated int64 persistent_tensor_alloc_ids = 5;
getPhysicalDeviceDesc() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: String representation of the physical device that this device maps to.
getPhysicalDeviceDesc() - 类中的方法org.tensorflow.framework.DeviceAttributes: String representation of the physical device that this device maps to.
getPhysicalDeviceDesc() - 接口中的方法org.tensorflow.framework.DeviceAttributesOrBuilder: String representation of the physical device that this device maps to.
getPhysicalDeviceDescBytes() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: String representation of the physical device that this device maps to.
getPhysicalDeviceDescBytes() - 类中的方法org.tensorflow.framework.DeviceAttributes: String representation of the physical device that this device maps to.
getPhysicalDeviceDescBytes() - 接口中的方法org.tensorflow.framework.DeviceAttributesOrBuilder: String representation of the physical device that this device maps to.
getPivotForBodyName() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Name of the pivot_for_body tensor.
getPivotForBodyName() - 类中的方法org.tensorflow.framework.WhileContextDef: Name of the pivot_for_body tensor.
getPivotForBodyName() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: Name of the pivot_for_body tensor.
getPivotForBodyNameBytes() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Name of the pivot_for_body tensor.
getPivotForBodyNameBytes() - 类中的方法org.tensorflow.framework.WhileContextDef: Name of the pivot_for_body tensor.
getPivotForBodyNameBytes() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: Name of the pivot_for_body tensor.
getPivotForPredName() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Name of the pivot_for_pred tensor.
getPivotForPredName() - 类中的方法org.tensorflow.framework.WhileContextDef: Name of the pivot_for_pred tensor.
getPivotForPredName() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: Name of the pivot_for_pred tensor.
getPivotForPredNameBytes() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Name of the pivot_for_pred tensor.
getPivotForPredNameBytes() - 类中的方法org.tensorflow.framework.WhileContextDef: Name of the pivot_for_pred tensor.
getPivotForPredNameBytes() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: Name of the pivot_for_pred tensor.
getPivotName() - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Name of the pivot tensor.
getPivotName() - 类中的方法org.tensorflow.framework.CondContextDef: Name of the pivot tensor.
getPivotName() - 接口中的方法org.tensorflow.framework.CondContextDefOrBuilder: Name of the pivot tensor.
getPivotName() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Name of the pivot tensor.
getPivotName() - 类中的方法org.tensorflow.framework.WhileContextDef: Name of the pivot tensor.
getPivotName() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: Name of the pivot tensor.
getPivotNameBytes() - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Name of the pivot tensor.
getPivotNameBytes() - 类中的方法org.tensorflow.framework.CondContextDef: Name of the pivot tensor.
getPivotNameBytes() - 接口中的方法org.tensorflow.framework.CondContextDefOrBuilder: Name of the pivot tensor.
getPivotNameBytes() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Name of the pivot tensor.
getPivotNameBytes() - 类中的方法org.tensorflow.framework.WhileContextDef: Name of the pivot tensor.
getPivotNameBytes() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: Name of the pivot tensor.
getPlaceholder() - 类中的方法org.tensorflow.framework.AttrValue.Builder: This is a placeholder only used in nodes defined inside a function.
getPlaceholder() - 类中的方法org.tensorflow.framework.AttrValue: This is a placeholder only used in nodes defined inside a function.
getPlaceholder() - 接口中的方法org.tensorflow.framework.AttrValueOrBuilder: This is a placeholder only used in nodes defined inside a function.
getPlaceholderBytes() - 类中的方法org.tensorflow.framework.AttrValue.Builder: This is a placeholder only used in nodes defined inside a function.
getPlaceholderBytes() - 类中的方法org.tensorflow.framework.AttrValue: This is a placeholder only used in nodes defined inside a function.
getPlaceholderBytes() - 接口中的方法org.tensorflow.framework.AttrValueOrBuilder: This is a placeholder only used in nodes defined inside a function.
getPlacementPeriod() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Assignment of Nodes to Devices is recomputed every placement_period steps until the system warms up (at which point the recomputation typically slows down automatically).
getPlacementPeriod() - 类中的方法org.tensorflow.framework.ConfigProto: Assignment of Nodes to Devices is recomputed every placement_period steps until the system warms up (at which point the recomputation typically slows down automatically).
getPlacementPeriod() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: Assignment of Nodes to Devices is recomputed every placement_period steps until the system warms up (at which point the recomputation typically slows down automatically).
getPlacePrunedGraph() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: Only place the subgraphs that are run, rather than the entire graph.
getPlacePrunedGraph() - 类中的方法org.tensorflow.framework.GraphOptions: Only place the subgraphs that are run, rather than the entire graph.
getPlacePrunedGraph() - 接口中的方法org.tensorflow.framework.GraphOptionsOrBuilder: Only place the subgraphs that are run, rather than the entire graph.
getPlatformConfigs() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder: 已过时。
getPlatformConfigs() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap: 已过时。
getPlatformConfigs() - 接口中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMapOrBuilder: 已过时。
getPlatformConfigsCount() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
getPlatformConfigsCount() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
getPlatformConfigsCount() - 接口中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMapOrBuilder: A map from a platform name to a platform config.
getPlatformConfigsMap() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder: A map from a platform name to a platform config.
getPlatformConfigsMap() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap: A map from a platform name to a platform config.
getPlatformConfigsMap() - 接口中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMapOrBuilder: A map from a platform name to a platform config.
getPlatformConfigsOrDefault(String, PlatformConfigOuterClass.PlatformConfig) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder: A map from a platform name to a platform config.
getPlatformConfigsOrDefault(String, PlatformConfigOuterClass.PlatformConfig) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap: A map from a platform name to a platform config.
getPlatformConfigsOrDefault(String, PlatformConfigOuterClass.PlatformConfig) - 接口中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMapOrBuilder: A map from a platform name to a platform config.
getPlatformConfigsOrThrow(String) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder: A map from a platform name to a platform config.
getPlatformConfigsOrThrow(String) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap: A map from a platform name to a platform config.
getPlatformConfigsOrThrow(String) - 接口中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMapOrBuilder: A map from a platform name to a platform config.
getPluginData() - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
getPluginData() - 类中的方法org.tensorflow.framework.SummaryMetadata: Data that associates a summary with a certain plugin.
getPluginData() - 接口中的方法org.tensorflow.framework.SummaryMetadataOrBuilder: Data that associates a summary with a certain plugin.
getPluginDataBuilder() - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
getPluginDataOrBuilder() - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
getPluginDataOrBuilder() - 类中的方法org.tensorflow.framework.SummaryMetadata: Data that associates a summary with a certain plugin.
getPluginDataOrBuilder() - 接口中的方法org.tensorflow.framework.SummaryMetadataOrBuilder: Data that associates a summary with a certain plugin.
getPluginName() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder: The name of the plugin this data pertains to.
getPluginName() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData: The name of the plugin this data pertains to.
getPluginName() - 接口中的方法org.tensorflow.framework.SummaryMetadata.PluginDataOrBuilder: The name of the plugin this data pertains to.
getPluginNameBytes() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder: The name of the plugin this data pertains to.
getPluginNameBytes() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData: The name of the plugin this data pertains to.
getPluginNameBytes() - 接口中的方法org.tensorflow.framework.SummaryMetadata.PluginDataOrBuilder: The name of the plugin this data pertains to.
getPolicyChoiceCase() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
getPolicyChoiceCase() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
getPolicyChoiceCase() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicyOrBuilder
getPollingActiveDelayUsecs() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.
getPollingActiveDelayUsecs() - 类中的方法org.tensorflow.framework.GPUOptions: In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.
getPollingActiveDelayUsecs() - 接口中的方法org.tensorflow.framework.GPUOptionsOrBuilder: In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.
getPollingInactiveDelayMsecs() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: This field is deprecated and ignored.
getPollingInactiveDelayMsecs() - 类中的方法org.tensorflow.framework.GPUOptions: This field is deprecated and ignored.
getPollingInactiveDelayMsecs() - 接口中的方法org.tensorflow.framework.GPUOptionsOrBuilder: This field is deprecated and ignored.
getPrecedingNode() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder: int32 preceding_node = 1;
getPrecedingNode() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo: int32 preceding_node = 1;
getPrecedingNode() - 接口中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfoOrBuilder: int32 preceding_node = 1;
getPrecedingPort() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder: int32 preceding_port = 2;
getPrecedingPort() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo: int32 preceding_port = 2;
getPrecedingPort() - 接口中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfoOrBuilder: int32 preceding_port = 2;
getPredictLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.PredictLog predict_log = 6;
getPredictLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog: .tensorflow.serving.PredictLog predict_log = 6;
getPredictLog() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder: .tensorflow.serving.PredictLog predict_log = 6;
getPredictLogBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.PredictLog predict_log = 6;
getPredictLogOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.PredictLog predict_log = 6;
getPredictLogOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog: .tensorflow.serving.PredictLog predict_log = 6;
getPredictLogOrBuilder() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder: .tensorflow.serving.PredictLog predict_log = 6;
getPredictMethod() - 类中的静态方法tensorflow.serving.PredictionServiceGrpc
getPredName() - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Name of the pred tensor.
getPredName() - 类中的方法org.tensorflow.framework.CondContextDef: Name of the pred tensor.
getPredName() - 接口中的方法org.tensorflow.framework.CondContextDefOrBuilder: Name of the pred tensor.
getPredNameBytes() - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Name of the pred tensor.
getPredNameBytes() - 类中的方法org.tensorflow.framework.CondContextDef: Name of the pred tensor.
getPredNameBytes() - 接口中的方法org.tensorflow.framework.CondContextDefOrBuilder: Name of the pred tensor.
getProducer() - 类中的方法org.tensorflow.framework.VersionDef.Builder: The version of the code that produced this data.
getProducer() - 类中的方法org.tensorflow.framework.VersionDef: The version of the code that produced this data.
getProducer() - 接口中的方法org.tensorflow.framework.VersionDefOrBuilder: The version of the code that produced this data.
getProperties() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
getProperties() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice: .tensorflow.DeviceProperties properties = 2;
getProperties() - 接口中的方法tensorflow.DevicePropertiesProtos.NamedDeviceOrBuilder: .tensorflow.DeviceProperties properties = 2;
getPropertiesBuilder() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
getPropertiesOrBuilder() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
getPropertiesOrBuilder() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice: .tensorflow.DeviceProperties properties = 2;
getPropertiesOrBuilder() - 接口中的方法tensorflow.DevicePropertiesProtos.NamedDeviceOrBuilder: .tensorflow.DeviceProperties properties = 2;
getProtocol() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The protocol to be used by this server.
getProtocol() - 类中的方法org.tensorflow.distruntime.ServerDef: The protocol to be used by this server.
getProtocol() - 接口中的方法org.tensorflow.distruntime.ServerDefOrBuilder: The protocol to be used by this server.
getProtocolBytes() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The protocol to be used by this server.
getProtocolBytes() - 类中的方法org.tensorflow.distruntime.ServerDef: The protocol to be used by this server.
getProtocolBytes() - 接口中的方法org.tensorflow.distruntime.ServerDefOrBuilder: The protocol to be used by this server.
getPtr() - 类中的方法org.tensorflow.framework.AllocationDescription.Builder: Address of the allocation.
getPtr() - 类中的方法org.tensorflow.framework.AllocationDescription: Address of the allocation.
getPtr() - 接口中的方法org.tensorflow.framework.AllocationDescriptionOrBuilder: Address of the allocation.
getPtr() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder: Address of the allocation.
getPtr() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation: Address of the allocation.
getPtr() - 接口中的方法org.tensorflow.framework.MemoryLogRawAllocationOrBuilder: Address of the allocation.
getQueue(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder: repeated .tensorflow.eager.QueueItem queue = 3;
getQueue(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest: repeated .tensorflow.eager.QueueItem queue = 3;
getQueue(int) - 接口中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder: repeated .tensorflow.eager.QueueItem queue = 3;
getQueueBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder: repeated .tensorflow.eager.QueueItem queue = 3;
getQueueBuilderList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder: repeated .tensorflow.eager.QueueItem queue = 3;
getQueueClosedExceptionTypes(int) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypes(int) - 类中的方法org.tensorflow.framework.QueueRunnerDef: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypes(int) - 接口中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesCount() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesCount() - 类中的方法org.tensorflow.framework.QueueRunnerDef: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesCount() - 接口中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesList() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesList() - 类中的方法org.tensorflow.framework.QueueRunnerDef: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesList() - 接口中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesValue(int) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesValue(int) - 类中的方法org.tensorflow.framework.QueueRunnerDef: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesValue(int) - 接口中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesValueList() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesValueList() - 类中的方法org.tensorflow.framework.QueueRunnerDef: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesValueList() - 接口中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueCount() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder: repeated .tensorflow.eager.QueueItem queue = 3;
getQueueCount() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest: repeated .tensorflow.eager.QueueItem queue = 3;
getQueueCount() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder: repeated .tensorflow.eager.QueueItem queue = 3;
getQueueList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder: repeated .tensorflow.eager.QueueItem queue = 3;
getQueueList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest: repeated .tensorflow.eager.QueueItem queue = 3;
getQueueList() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder: repeated .tensorflow.eager.QueueItem queue = 3;
getQueueName() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: Queue name.
getQueueName() - 类中的方法org.tensorflow.framework.QueueRunnerDef: Queue name.
getQueueName() - 接口中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder: Queue name.
getQueueNameBytes() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: Queue name.
getQueueNameBytes() - 类中的方法org.tensorflow.framework.QueueRunnerDef: Queue name.
getQueueNameBytes() - 接口中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder: Queue name.
getQueueOrBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder: repeated .tensorflow.eager.QueueItem queue = 3;
getQueueOrBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest: repeated .tensorflow.eager.QueueItem queue = 3;
getQueueOrBuilder(int) - 接口中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder: repeated .tensorflow.eager.QueueItem queue = 3;
getQueueOrBuilderList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder: repeated .tensorflow.eager.QueueItem queue = 3;
getQueueOrBuilderList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest: repeated .tensorflow.eager.QueueItem queue = 3;
getQueueOrBuilderList() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder: repeated .tensorflow.eager.QueueItem queue = 3;
getQueueResponse(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder: A single operation response for every item in the request.
getQueueResponse(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse: A single operation response for every item in the request.
getQueueResponse(int) - 接口中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponseOrBuilder: A single operation response for every item in the request.
getQueueResponseBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder: A single operation response for every item in the request.
getQueueResponseBuilderList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder: A single operation response for every item in the request.
getQueueResponseCount() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder: A single operation response for every item in the request.
getQueueResponseCount() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse: A single operation response for every item in the request.
getQueueResponseCount() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponseOrBuilder: A single operation response for every item in the request.
getQueueResponseList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder: A single operation response for every item in the request.
getQueueResponseList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse: A single operation response for every item in the request.
getQueueResponseList() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponseOrBuilder: A single operation response for every item in the request.
getQueueResponseOrBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder: A single operation response for every item in the request.
getQueueResponseOrBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse: A single operation response for every item in the request.
getQueueResponseOrBuilder(int) - 接口中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponseOrBuilder: A single operation response for every item in the request.
getQueueResponseOrBuilderList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder: A single operation response for every item in the request.
getQueueResponseOrBuilderList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse: A single operation response for every item in the request.
getQueueResponseOrBuilderList() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponseOrBuilder: A single operation response for every item in the request.
getRecordCosts() - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder: bool record_costs = 1;
getRecordCosts() - 类中的方法org.tensorflow.distruntime.ExecutorOpts: bool record_costs = 1;
getRecordCosts() - 接口中的方法org.tensorflow.distruntime.ExecutorOptsOrBuilder: bool record_costs = 1;
getRecordPartitionGraphs() - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder: bool record_partition_graphs = 4;
getRecordPartitionGraphs() - 类中的方法org.tensorflow.distruntime.ExecutorOpts: bool record_partition_graphs = 4;
getRecordPartitionGraphs() - 接口中的方法org.tensorflow.distruntime.ExecutorOptsOrBuilder: bool record_partition_graphs = 4;
getRecordTimeline() - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder: bool record_timeline = 3;
getRecordTimeline() - 类中的方法org.tensorflow.distruntime.ExecutorOpts: bool record_timeline = 3;
getRecordTimeline() - 接口中的方法org.tensorflow.distruntime.ExecutorOptsOrBuilder: bool record_timeline = 3;
getRecv(int) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
getRecv(int) - 类中的方法org.tensorflow.distruntime.RunGraphResponse: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
getRecv(int) - 接口中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
getRecvBufMethod() - 类中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
getRecvBuilder(int) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
getRecvBuilderList() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
getRecvCount() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
getRecvCount() - 类中的方法org.tensorflow.distruntime.RunGraphResponse: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
getRecvCount() - 接口中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
getRecvKey(int) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: repeated string recv_key = 4;
getRecvKey(int) - 类中的方法org.tensorflow.distruntime.RunGraphRequest: repeated string recv_key = 4;
getRecvKey(int) - 接口中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder: repeated string recv_key = 4;
getRecvKeyBytes(int) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: repeated string recv_key = 4;
getRecvKeyBytes(int) - 类中的方法org.tensorflow.distruntime.RunGraphRequest: repeated string recv_key = 4;
getRecvKeyBytes(int) - 接口中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder: repeated string recv_key = 4;
getRecvKeyCount() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: repeated string recv_key = 4;
getRecvKeyCount() - 类中的方法org.tensorflow.distruntime.RunGraphRequest: repeated string recv_key = 4;
getRecvKeyCount() - 接口中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder: repeated string recv_key = 4;
getRecvKeyList() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: repeated string recv_key = 4;
getRecvKeyList() - 类中的方法org.tensorflow.distruntime.RunGraphRequest: repeated string recv_key = 4;
getRecvKeyList() - 接口中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder: repeated string recv_key = 4;
getRecvList() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
getRecvList() - 类中的方法org.tensorflow.distruntime.RunGraphResponse: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
getRecvList() - 接口中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
getRecvOrBuilder(int) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
getRecvOrBuilder(int) - 类中的方法org.tensorflow.distruntime.RunGraphResponse: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
getRecvOrBuilder(int) - 接口中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
getRecvOrBuilderList() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
getRecvOrBuilderList() - 类中的方法org.tensorflow.distruntime.RunGraphResponse: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
getRecvOrBuilderList() - 接口中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
getRecvTensorMethod() - 类中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
getReferencedTensor(int) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensor(int) - 类中的方法org.tensorflow.framework.NodeExecStats: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensor(int) - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorBuilder(int) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorBuilderList() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorCount() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorCount() - 类中的方法org.tensorflow.framework.NodeExecStats: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorCount() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorList() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorList() - 类中的方法org.tensorflow.framework.NodeExecStats: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorList() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorOrBuilder(int) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorOrBuilder(int) - 类中的方法org.tensorflow.framework.NodeExecStats: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorOrBuilder(int) - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorOrBuilderList() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorOrBuilderList() - 类中的方法org.tensorflow.framework.NodeExecStats: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorOrBuilderList() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getRegisterFunctionMethod() - 类中的静态方法tensorflow.eager.EagerServiceGrpc
getRegisterGraphMethod() - 类中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
getRegressionResult() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.RegressionResult regression_result = 3;
getRegressionResult() - 类中的方法tensorflow.serving.Inference.InferenceResult: .tensorflow.serving.RegressionResult regression_result = 3;
getRegressionResult() - 接口中的方法tensorflow.serving.Inference.InferenceResultOrBuilder: .tensorflow.serving.RegressionResult regression_result = 3;
getRegressionResultBuilder() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.RegressionResult regression_result = 3;
getRegressionResultOrBuilder() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.RegressionResult regression_result = 3;
getRegressionResultOrBuilder() - 类中的方法tensorflow.serving.Inference.InferenceResult: .tensorflow.serving.RegressionResult regression_result = 3;
getRegressionResultOrBuilder() - 接口中的方法tensorflow.serving.Inference.InferenceResultOrBuilder: .tensorflow.serving.RegressionResult regression_result = 3;
getRegressions(int) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder: repeated .tensorflow.serving.Regression regressions = 1;
getRegressions(int) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult: repeated .tensorflow.serving.Regression regressions = 1;
getRegressions(int) - 接口中的方法tensorflow.serving.RegressionOuterClass.RegressionResultOrBuilder: repeated .tensorflow.serving.Regression regressions = 1;
getRegressionsBuilder(int) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder: repeated .tensorflow.serving.Regression regressions = 1;
getRegressionsBuilderList() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder: repeated .tensorflow.serving.Regression regressions = 1;
getRegressionsCount() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder: repeated .tensorflow.serving.Regression regressions = 1;
getRegressionsCount() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult: repeated .tensorflow.serving.Regression regressions = 1;
getRegressionsCount() - 接口中的方法tensorflow.serving.RegressionOuterClass.RegressionResultOrBuilder: repeated .tensorflow.serving.Regression regressions = 1;
getRegressionsList() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder: repeated .tensorflow.serving.Regression regressions = 1;
getRegressionsList() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult: repeated .tensorflow.serving.Regression regressions = 1;
getRegressionsList() - 接口中的方法tensorflow.serving.RegressionOuterClass.RegressionResultOrBuilder: repeated .tensorflow.serving.Regression regressions = 1;
getRegressionsOrBuilder(int) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder: repeated .tensorflow.serving.Regression regressions = 1;
getRegressionsOrBuilder(int) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult: repeated .tensorflow.serving.Regression regressions = 1;
getRegressionsOrBuilder(int) - 接口中的方法tensorflow.serving.RegressionOuterClass.RegressionResultOrBuilder: repeated .tensorflow.serving.Regression regressions = 1;
getRegressionsOrBuilderList() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder: repeated .tensorflow.serving.Regression regressions = 1;
getRegressionsOrBuilderList() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult: repeated .tensorflow.serving.Regression regressions = 1;
getRegressionsOrBuilderList() - 接口中的方法tensorflow.serving.RegressionOuterClass.RegressionResultOrBuilder: repeated .tensorflow.serving.Regression regressions = 1;
getRegressLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.RegressLog regress_log = 3;
getRegressLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog: .tensorflow.serving.RegressLog regress_log = 3;
getRegressLog() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder: .tensorflow.serving.RegressLog regress_log = 3;
getRegressLogBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.RegressLog regress_log = 3;
getRegressLogOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.RegressLog regress_log = 3;
getRegressLogOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog: .tensorflow.serving.RegressLog regress_log = 3;
getRegressLogOrBuilder() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder: .tensorflow.serving.RegressLog regress_log = 3;
getRegressMethod() - 类中的静态方法tensorflow.serving.PredictionServiceGrpc
getReleaseCallableMethod() - 类中的静态方法org.tensorflow.distruntime.MasterServiceGrpc
getRemapping() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
getRemapping() - 类中的方法org.tensorflow.framework.RewriterConfig: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
getRemapping() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
getRemappingValue() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
getRemappingValue() - 类中的方法org.tensorflow.framework.RewriterConfig: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
getRemappingValue() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
getRemoteDevice(int) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes remote_device = 2;
getRemoteDevice(int) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse: repeated .tensorflow.DeviceAttributes remote_device = 2;
getRemoteDevice(int) - 接口中的方法org.tensorflow.distruntime.ListDevicesResponseOrBuilder: repeated .tensorflow.DeviceAttributes remote_device = 2;
getRemoteDeviceBuilder(int) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes remote_device = 2;
getRemoteDeviceBuilderList() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes remote_device = 2;
getRemoteDeviceCount() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes remote_device = 2;
getRemoteDeviceCount() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse: repeated .tensorflow.DeviceAttributes remote_device = 2;
getRemoteDeviceCount() - 接口中的方法org.tensorflow.distruntime.ListDevicesResponseOrBuilder: repeated .tensorflow.DeviceAttributes remote_device = 2;
getRemoteDeviceList() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes remote_device = 2;
getRemoteDeviceList() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse: repeated .tensorflow.DeviceAttributes remote_device = 2;
getRemoteDeviceList() - 接口中的方法org.tensorflow.distruntime.ListDevicesResponseOrBuilder: repeated .tensorflow.DeviceAttributes remote_device = 2;
getRemoteDeviceOrBuilder(int) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes remote_device = 2;
getRemoteDeviceOrBuilder(int) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse: repeated .tensorflow.DeviceAttributes remote_device = 2;
getRemoteDeviceOrBuilder(int) - 接口中的方法org.tensorflow.distruntime.ListDevicesResponseOrBuilder: repeated .tensorflow.DeviceAttributes remote_device = 2;
getRemoteDeviceOrBuilderList() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes remote_device = 2;
getRemoteDeviceOrBuilderList() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse: repeated .tensorflow.DeviceAttributes remote_device = 2;
getRemoteDeviceOrBuilderList() - 接口中的方法org.tensorflow.distruntime.ListDevicesResponseOrBuilder: repeated .tensorflow.DeviceAttributes remote_device = 2;
getRemoteGraph() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Definition of remote graph .tensorflow.GraphDef remote_graph = 1;
getRemoteGraph() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Definition of remote graph .tensorflow.GraphDef remote_graph = 1;
getRemoteGraph() - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Definition of remote graph .tensorflow.GraphDef remote_graph = 1;
getRemoteGraphBuilder() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Definition of remote graph .tensorflow.GraphDef remote_graph = 1;
getRemoteGraphOrBuilder() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Definition of remote graph .tensorflow.GraphDef remote_graph = 1;
getRemoteGraphOrBuilder() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Definition of remote graph .tensorflow.GraphDef remote_graph = 1;
getRemoteGraphOrBuilder() - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Definition of remote graph .tensorflow.GraphDef remote_graph = 1;
getRenameTo() - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder: Change the name used to access this arg in the API from what is used in the GraphDef.
getRenameTo() - 类中的方法org.tensorflow.framework.ApiDef.Arg: Change the name used to access this arg in the API from what is used in the GraphDef.
getRenameTo() - 接口中的方法org.tensorflow.framework.ApiDef.ArgOrBuilder: Change the name used to access this arg in the API from what is used in the GraphDef.
getRenameTo() - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: Change the name used to access this attr in the API from what is used in the GraphDef.
getRenameTo() - 类中的方法org.tensorflow.framework.ApiDef.Attr: Change the name used to access this attr in the API from what is used in the GraphDef.
getRenameTo() - 接口中的方法org.tensorflow.framework.ApiDef.AttrOrBuilder: Change the name used to access this attr in the API from what is used in the GraphDef.
getRenameToBytes() - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder: Change the name used to access this arg in the API from what is used in the GraphDef.
getRenameToBytes() - 类中的方法org.tensorflow.framework.ApiDef.Arg: Change the name used to access this arg in the API from what is used in the GraphDef.
getRenameToBytes() - 接口中的方法org.tensorflow.framework.ApiDef.ArgOrBuilder: Change the name used to access this arg in the API from what is used in the GraphDef.
getRenameToBytes() - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: Change the name used to access this attr in the API from what is used in the GraphDef.
getRenameToBytes() - 类中的方法org.tensorflow.framework.ApiDef.Attr: Change the name used to access this attr in the API from what is used in the GraphDef.
getRenameToBytes() - 接口中的方法org.tensorflow.framework.ApiDef.AttrOrBuilder: Change the name used to access this attr in the API from what is used in the GraphDef.
getRendezvousId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: This ID will be used for all future communications.
getRendezvousId() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest: This ID will be used for all future communications.
getRendezvousId() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder: This ID will be used for all future communications.
getRendezvousKey() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: A key identifying the channel to receive tensors from.
getRendezvousKey() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest: A key identifying the channel to receive tensors from.
getRendezvousKey() - 接口中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder: A key identifying the channel to receive tensors from.
getRendezvousKeyBytes() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: A key identifying the channel to receive tensors from.
getRendezvousKeyBytes() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest: A key identifying the channel to receive tensors from.
getRendezvousKeyBytes() - 接口中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder: A key identifying the channel to receive tensors from.
getReportTensorAllocationsUponOom() - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder: bool report_tensor_allocations_upon_oom = 5;
getReportTensorAllocationsUponOom() - 类中的方法org.tensorflow.distruntime.ExecutorOpts: bool report_tensor_allocations_upon_oom = 5;
getReportTensorAllocationsUponOom() - 接口中的方法org.tensorflow.distruntime.ExecutorOptsOrBuilder: bool report_tensor_allocations_upon_oom = 5;
getReportTensorAllocationsUponOom() - 类中的方法org.tensorflow.framework.RunOptions.Builder: When enabled, causes tensor allocation information to be included in the error message when the Run() call fails because the allocator ran out of memory (OOM).
getReportTensorAllocationsUponOom() - 类中的方法org.tensorflow.framework.RunOptions: When enabled, causes tensor allocation information to be included in the error message when the Run() call fails because the allocator ran out of memory (OOM).
getReportTensorAllocationsUponOom() - 接口中的方法org.tensorflow.framework.RunOptionsOrBuilder: When enabled, causes tensor allocation information to be included in the error message when the Run() call fails because the allocator ran out of memory (OOM).
getRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder: .tensorflow.serving.ClassificationRequest request = 1;
getRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog: .tensorflow.serving.ClassificationRequest request = 1;
getRequest() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLogOrBuilder: .tensorflow.serving.ClassificationRequest request = 1;
getRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder: .tensorflow.serving.MultiInferenceRequest request = 1;
getRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog: .tensorflow.serving.MultiInferenceRequest request = 1;
getRequest() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLogOrBuilder: .tensorflow.serving.MultiInferenceRequest request = 1;
getRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder: .tensorflow.serving.PredictRequest request = 1;
getRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog: .tensorflow.serving.PredictRequest request = 1;
getRequest() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictLogOrBuilder: .tensorflow.serving.PredictRequest request = 1;
getRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder: .tensorflow.serving.RegressionRequest request = 1;
getRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog: .tensorflow.serving.RegressionRequest request = 1;
getRequest() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.RegressLogOrBuilder: .tensorflow.serving.RegressionRequest request = 1;
getRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder: .tensorflow.serving.SessionRunRequest request = 1;
getRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog: .tensorflow.serving.SessionRunRequest request = 1;
getRequest() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLogOrBuilder: .tensorflow.serving.SessionRunRequest request = 1;
getRequestBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder: .tensorflow.serving.ClassificationRequest request = 1;
getRequestBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder: .tensorflow.serving.MultiInferenceRequest request = 1;
getRequestBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder: .tensorflow.serving.PredictRequest request = 1;
getRequestBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder: .tensorflow.serving.RegressionRequest request = 1;
getRequestBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder: .tensorflow.serving.SessionRunRequest request = 1;
getRequestedBytes() - 类中的方法org.tensorflow.framework.AllocationDescription.Builder: Total number of bytes requested int64 requested_bytes = 1;
getRequestedBytes() - 类中的方法org.tensorflow.framework.AllocationDescription: Total number of bytes requested int64 requested_bytes = 1;
getRequestedBytes() - 接口中的方法org.tensorflow.framework.AllocationDescriptionOrBuilder: Total number of bytes requested int64 requested_bytes = 1;
getRequestId() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Depending on the RPC system in use, it may be necessary to set this id to detect resends of RPCs where the server is not aware that the prior RPC failed.
getRequestId() - 类中的方法org.tensorflow.distruntime.RecvBufRequest: Depending on the RPC system in use, it may be necessary to set this id to detect resends of RPCs where the server is not aware that the prior RPC failed.
getRequestId() - 接口中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder: Depending on the RPC system in use, it may be necessary to set this id to detect resends of RPCs where the server is not aware that the prior RPC failed.
getRequestId() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Unique identifier for this request.
getRequestId() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest: Unique identifier for this request.
getRequestId() - 接口中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder: Unique identifier for this request.
getRequestOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder: .tensorflow.serving.ClassificationRequest request = 1;
getRequestOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog: .tensorflow.serving.ClassificationRequest request = 1;
getRequestOrBuilder() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLogOrBuilder: .tensorflow.serving.ClassificationRequest request = 1;
getRequestOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder: .tensorflow.serving.MultiInferenceRequest request = 1;
getRequestOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog: .tensorflow.serving.MultiInferenceRequest request = 1;
getRequestOrBuilder() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLogOrBuilder: .tensorflow.serving.MultiInferenceRequest request = 1;
getRequestOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder: .tensorflow.serving.PredictRequest request = 1;
getRequestOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog: .tensorflow.serving.PredictRequest request = 1;
getRequestOrBuilder() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictLogOrBuilder: .tensorflow.serving.PredictRequest request = 1;
getRequestOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder: .tensorflow.serving.RegressionRequest request = 1;
getRequestOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog: .tensorflow.serving.RegressionRequest request = 1;
getRequestOrBuilder() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.RegressLogOrBuilder: .tensorflow.serving.RegressionRequest request = 1;
getRequestOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder: .tensorflow.serving.SessionRunRequest request = 1;
getRequestOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog: .tensorflow.serving.SessionRunRequest request = 1;
getRequestOrBuilder() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLogOrBuilder: .tensorflow.serving.SessionRunRequest request = 1;
getResetDiskByteUsage() - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Whether the total disk usage of tfdbg is to be reset to zero in this Session.run call.
getResetDiskByteUsage() - 类中的方法org.tensorflow.framework.DebugOptions: Whether the total disk usage of tfdbg is to be reset to zero in this Session.run call.
getResetDiskByteUsage() - 接口中的方法org.tensorflow.framework.DebugOptionsOrBuilder: Whether the total disk usage of tfdbg is to be reset to zero in this Session.run call.
getResetMethod() - 类中的静态方法org.tensorflow.distruntime.MasterServiceGrpc
getResourceHandleVal(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
getResourceHandleVal(int) - 类中的方法org.tensorflow.framework.TensorProto: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
getResourceHandleVal(int) - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
getResourceHandleValBuilder(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
getResourceHandleValBuilderList() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
getResourceHandleValCount() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
getResourceHandleValCount() - 类中的方法org.tensorflow.framework.TensorProto: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
getResourceHandleValCount() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
getResourceHandleValList() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
getResourceHandleValList() - 类中的方法org.tensorflow.framework.TensorProto: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
getResourceHandleValList() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
getResourceHandleValOrBuilder(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
getResourceHandleValOrBuilder(int) - 类中的方法org.tensorflow.framework.TensorProto: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
getResourceHandleValOrBuilder(int) - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
getResourceHandleValOrBuilderList() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
getResourceHandleValOrBuilderList() - 类中的方法org.tensorflow.framework.TensorProto: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
getResourceHandleValOrBuilderList() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
getResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder: .tensorflow.serving.ClassificationResponse response = 2;
getResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog: .tensorflow.serving.ClassificationResponse response = 2;
getResponse() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLogOrBuilder: .tensorflow.serving.ClassificationResponse response = 2;
getResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder: .tensorflow.serving.MultiInferenceResponse response = 2;
getResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog: .tensorflow.serving.MultiInferenceResponse response = 2;
getResponse() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLogOrBuilder: .tensorflow.serving.MultiInferenceResponse response = 2;
getResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder: .tensorflow.serving.PredictResponse response = 2;
getResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog: .tensorflow.serving.PredictResponse response = 2;
getResponse() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictLogOrBuilder: .tensorflow.serving.PredictResponse response = 2;
getResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder: .tensorflow.serving.RegressionResponse response = 2;
getResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog: .tensorflow.serving.RegressionResponse response = 2;
getResponse() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.RegressLogOrBuilder: .tensorflow.serving.RegressionResponse response = 2;
getResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder: .tensorflow.serving.SessionRunResponse response = 2;
getResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog: .tensorflow.serving.SessionRunResponse response = 2;
getResponse() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLogOrBuilder: .tensorflow.serving.SessionRunResponse response = 2;
getResponseBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder: .tensorflow.serving.ClassificationResponse response = 2;
getResponseBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder: .tensorflow.serving.MultiInferenceResponse response = 2;
getResponseBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder: .tensorflow.serving.PredictResponse response = 2;
getResponseBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder: .tensorflow.serving.RegressionResponse response = 2;
getResponseBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder: .tensorflow.serving.SessionRunResponse response = 2;
getResponseOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder: .tensorflow.serving.ClassificationResponse response = 2;
getResponseOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog: .tensorflow.serving.ClassificationResponse response = 2;
getResponseOrBuilder() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLogOrBuilder: .tensorflow.serving.ClassificationResponse response = 2;
getResponseOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder: .tensorflow.serving.MultiInferenceResponse response = 2;
getResponseOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog: .tensorflow.serving.MultiInferenceResponse response = 2;
getResponseOrBuilder() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLogOrBuilder: .tensorflow.serving.MultiInferenceResponse response = 2;
getResponseOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder: .tensorflow.serving.PredictResponse response = 2;
getResponseOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog: .tensorflow.serving.PredictResponse response = 2;
getResponseOrBuilder() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictLogOrBuilder: .tensorflow.serving.PredictResponse response = 2;
getResponseOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder: .tensorflow.serving.RegressionResponse response = 2;
getResponseOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog: .tensorflow.serving.RegressionResponse response = 2;
getResponseOrBuilder() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.RegressLogOrBuilder: .tensorflow.serving.RegressionResponse response = 2;
getResponseOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder: .tensorflow.serving.SessionRunResponse response = 2;
getResponseOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog: .tensorflow.serving.SessionRunResponse response = 2;
getResponseOrBuilder() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLogOrBuilder: .tensorflow.serving.SessionRunResponse response = 2;
getRestoreOpName() - 类中的方法org.tensorflow.util.SaverDef.Builder: The operation to run when restoring a model checkpoint.
getRestoreOpName() - 类中的方法org.tensorflow.util.SaverDef: The operation to run when restoring a model checkpoint.
getRestoreOpName() - 接口中的方法org.tensorflow.util.SaverDefOrBuilder: The operation to run when restoring a model checkpoint.
getRestoreOpNameBytes() - 类中的方法org.tensorflow.util.SaverDef.Builder: The operation to run when restoring a model checkpoint.
getRestoreOpNameBytes() - 类中的方法org.tensorflow.util.SaverDef: The operation to run when restoring a model checkpoint.
getRestoreOpNameBytes() - 接口中的方法org.tensorflow.util.SaverDefOrBuilder: The operation to run when restoring a model checkpoint.
getResult() - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder: Result of the classification.
getResult() - 类中的方法tensorflow.serving.Classification.ClassificationResponse: Result of the classification.
getResult() - 接口中的方法tensorflow.serving.Classification.ClassificationResponseOrBuilder: Result of the classification.
getResult() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder: .tensorflow.serving.RegressionResult result = 1;
getResult() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse: .tensorflow.serving.RegressionResult result = 1;
getResult() - 接口中的方法tensorflow.serving.RegressionOuterClass.RegressionResponseOrBuilder: .tensorflow.serving.RegressionResult result = 1;
getResultBuilder() - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder: Result of the classification.
getResultBuilder() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder: .tensorflow.serving.RegressionResult result = 1;
getResultCase() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder
getResultCase() - 类中的方法tensorflow.serving.Inference.InferenceResult
getResultCase() - 接口中的方法tensorflow.serving.Inference.InferenceResultOrBuilder
getResultOrBuilder() - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder: Result of the classification.
getResultOrBuilder() - 类中的方法tensorflow.serving.Classification.ClassificationResponse: Result of the classification.
getResultOrBuilder() - 接口中的方法tensorflow.serving.Classification.ClassificationResponseOrBuilder: Result of the classification.
getResultOrBuilder() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder: .tensorflow.serving.RegressionResult result = 1;
getResultOrBuilder() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse: .tensorflow.serving.RegressionResult result = 1;
getResultOrBuilder() - 接口中的方法tensorflow.serving.RegressionOuterClass.RegressionResponseOrBuilder: .tensorflow.serving.RegressionResult result = 1;
getResults(int) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
getResults(int) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse: List of results; one for each InferenceTask in the request, returned in the same order as the request.
getResults(int) - 接口中的方法tensorflow.serving.Inference.MultiInferenceResponseOrBuilder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
getResultsBuilder(int) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
getResultsBuilderList() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
getResultsCount() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
getResultsCount() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse: List of results; one for each InferenceTask in the request, returned in the same order as the request.
getResultsCount() - 接口中的方法tensorflow.serving.Inference.MultiInferenceResponseOrBuilder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
getResultsList() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
getResultsList() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse: List of results; one for each InferenceTask in the request, returned in the same order as the request.
getResultsList() - 接口中的方法tensorflow.serving.Inference.MultiInferenceResponseOrBuilder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
getResultsOrBuilder(int) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
getResultsOrBuilder(int) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse: List of results; one for each InferenceTask in the request, returned in the same order as the request.
getResultsOrBuilder(int) - 接口中的方法tensorflow.serving.Inference.MultiInferenceResponseOrBuilder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
getResultsOrBuilderList() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
getResultsOrBuilderList() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse: List of results; one for each InferenceTask in the request, returned in the same order as the request.
getResultsOrBuilderList() - 接口中的方法tensorflow.serving.Inference.MultiInferenceResponseOrBuilder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
getRet() - 类中的方法org.tensorflow.framework.FunctionDef.Builder: 已过时。
getRet() - 类中的方法org.tensorflow.framework.FunctionDef: 已过时。
getRet() - 接口中的方法org.tensorflow.framework.FunctionDefOrBuilder: 已过时。
getRetCount() - 类中的方法org.tensorflow.framework.FunctionDef.Builder
getRetCount() - 类中的方法org.tensorflow.framework.FunctionDef
getRetCount() - 接口中的方法org.tensorflow.framework.FunctionDefOrBuilder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetMap() - 类中的方法org.tensorflow.framework.FunctionDef.Builder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetMap() - 类中的方法org.tensorflow.framework.FunctionDef: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetMap() - 接口中的方法org.tensorflow.framework.FunctionDefOrBuilder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetOrDefault(String, String) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetOrDefault(String, String) - 类中的方法org.tensorflow.framework.FunctionDef: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetOrDefault(String, String) - 接口中的方法org.tensorflow.framework.FunctionDefOrBuilder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetOrThrow(String) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetOrThrow(String) - 类中的方法org.tensorflow.framework.FunctionDef: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetOrThrow(String) - 接口中的方法org.tensorflow.framework.FunctionDefOrBuilder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRewriteOptions() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
getRewriteOptions() - 类中的方法org.tensorflow.framework.GraphOptions: Options that control the type and amount of graph rewriting.
getRewriteOptions() - 接口中的方法org.tensorflow.framework.GraphOptionsOrBuilder: Options that control the type and amount of graph rewriting.
getRewriteOptionsBuilder() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
getRewriteOptionsOrBuilder() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
getRewriteOptionsOrBuilder() - 类中的方法org.tensorflow.framework.GraphOptions: Options that control the type and amount of graph rewriting.
getRewriteOptionsOrBuilder() - 接口中的方法org.tensorflow.framework.GraphOptionsOrBuilder: Options that control the type and amount of graph rewriting.
getRpcOptions() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
getRpcOptions() - 类中的方法org.tensorflow.framework.ConfigProto: Options that apply when this session uses the distributed runtime.
getRpcOptions() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: Options that apply when this session uses the distributed runtime.
getRpcOptionsBuilder() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
getRpcOptionsOrBuilder() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
getRpcOptionsOrBuilder() - 类中的方法org.tensorflow.framework.ConfigProto: Options that apply when this session uses the distributed runtime.
getRpcOptionsOrBuilder() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: Options that apply when this session uses the distributed runtime.
getRunCallableMethod() - 类中的静态方法org.tensorflow.distruntime.MasterServiceGrpc
getRunGraphMethod() - 类中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
getRunOptions() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Options that will be applied to each run.
getRunOptions() - 类中的方法org.tensorflow.framework.CallableOptions: Options that will be applied to each run.
getRunOptions() - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: Options that will be applied to each run.
getRunOptionsBuilder() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Options that will be applied to each run.
getRunOptionsOrBuilder() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Options that will be applied to each run.
getRunOptionsOrBuilder() - 类中的方法org.tensorflow.framework.CallableOptions: Options that will be applied to each run.
getRunOptionsOrBuilder() - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: Options that will be applied to each run.
getRunStepMethod() - 类中的静态方法org.tensorflow.distruntime.MasterServiceGrpc
getS() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "string" bytes s = 2;
getS() - 类中的方法org.tensorflow.framework.AttrValue: "string" bytes s = 2;
getS(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(string)" repeated bytes s = 2;
getS(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(string)" repeated bytes s = 2;
getS(int) - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(string)" repeated bytes s = 2;
getS() - 接口中的方法org.tensorflow.framework.AttrValueOrBuilder: "string" bytes s = 2;
getSampleRate() - 类中的方法org.tensorflow.framework.Summary.Audio.Builder: Sample rate of the audio in Hz.
getSampleRate() - 类中的方法org.tensorflow.framework.Summary.Audio: Sample rate of the audio in Hz.
getSampleRate() - 接口中的方法org.tensorflow.framework.Summary.AudioOrBuilder: Sample rate of the audio in Hz.
getSamplingConfig() - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder: TODO(b/33279154): Add more metadata as mentioned in the bug.
getSamplingConfig() - 类中的方法tensorflow.serving.Logging.LogMetadata: TODO(b/33279154): Add more metadata as mentioned in the bug.
getSamplingConfig() - 接口中的方法tensorflow.serving.Logging.LogMetadataOrBuilder: TODO(b/33279154): Add more metadata as mentioned in the bug.
getSamplingConfig() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder: .tensorflow.serving.SamplingConfig sampling_config = 2;
getSamplingConfig() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig: .tensorflow.serving.SamplingConfig sampling_config = 2;
getSamplingConfig() - 接口中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfigOrBuilder: .tensorflow.serving.SamplingConfig sampling_config = 2;
getSamplingConfigBuilder() - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder: TODO(b/33279154): Add more metadata as mentioned in the bug.
getSamplingConfigBuilder() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder: .tensorflow.serving.SamplingConfig sampling_config = 2;
getSamplingConfigOrBuilder() - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder: TODO(b/33279154): Add more metadata as mentioned in the bug.
getSamplingConfigOrBuilder() - 类中的方法tensorflow.serving.Logging.LogMetadata: TODO(b/33279154): Add more metadata as mentioned in the bug.
getSamplingConfigOrBuilder() - 接口中的方法tensorflow.serving.Logging.LogMetadataOrBuilder: TODO(b/33279154): Add more metadata as mentioned in the bug.
getSamplingConfigOrBuilder() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder: .tensorflow.serving.SamplingConfig sampling_config = 2;
getSamplingConfigOrBuilder() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig: .tensorflow.serving.SamplingConfig sampling_config = 2;
getSamplingConfigOrBuilder() - 接口中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfigOrBuilder: .tensorflow.serving.SamplingConfig sampling_config = 2;
getSamplingRate() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder: Requests will be logged uniformly at random with this probability.
getSamplingRate() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig: Requests will be logged uniformly at random with this probability.
getSamplingRate() - 接口中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfigOrBuilder: Requests will be logged uniformly at random with this probability.
getSavedModelSchemaVersion() - 类中的方法org.tensorflow.framework.SavedModel.Builder: The schema version of the SavedModel instance.
getSavedModelSchemaVersion() - 类中的方法org.tensorflow.framework.SavedModel: The schema version of the SavedModel instance.
getSavedModelSchemaVersion() - 接口中的方法org.tensorflow.framework.SavedModelOrBuilder: The schema version of the SavedModel instance.
getSaverDef() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: SaverDef.
getSaverDef() - 类中的方法org.tensorflow.framework.MetaGraphDef: SaverDef.
getSaverDef() - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: SaverDef.
getSaverDefBuilder() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: SaverDef.
getSaverDefOrBuilder() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: SaverDef.
getSaverDefOrBuilder() - 类中的方法org.tensorflow.framework.MetaGraphDef: SaverDef.
getSaverDefOrBuilder() - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: SaverDef.
getSaveSliceInfoDef() - 类中的方法org.tensorflow.framework.VariableDef.Builder: Support for saving variables as slices of a larger variable.
getSaveSliceInfoDef() - 类中的方法org.tensorflow.framework.VariableDef: Support for saving variables as slices of a larger variable.
getSaveSliceInfoDef() - 接口中的方法org.tensorflow.framework.VariableDefOrBuilder: Support for saving variables as slices of a larger variable.
getSaveSliceInfoDefBuilder() - 类中的方法org.tensorflow.framework.VariableDef.Builder: Support for saving variables as slices of a larger variable.
getSaveSliceInfoDefOrBuilder() - 类中的方法org.tensorflow.framework.VariableDef.Builder: Support for saving variables as slices of a larger variable.
getSaveSliceInfoDefOrBuilder() - 类中的方法org.tensorflow.framework.VariableDef: Support for saving variables as slices of a larger variable.
getSaveSliceInfoDefOrBuilder() - 接口中的方法org.tensorflow.framework.VariableDefOrBuilder: Support for saving variables as slices of a larger variable.
getSaveTensorName() - 类中的方法org.tensorflow.util.SaverDef.Builder: The operation to run when saving a model checkpoint.
getSaveTensorName() - 类中的方法org.tensorflow.util.SaverDef: The operation to run when saving a model checkpoint.
getSaveTensorName() - 接口中的方法org.tensorflow.util.SaverDefOrBuilder: The operation to run when saving a model checkpoint.
getSaveTensorNameBytes() - 类中的方法org.tensorflow.util.SaverDef.Builder: The operation to run when saving a model checkpoint.
getSaveTensorNameBytes() - 类中的方法org.tensorflow.util.SaverDef: The operation to run when saving a model checkpoint.
getSaveTensorNameBytes() - 接口中的方法org.tensorflow.util.SaverDefOrBuilder: The operation to run when saving a model checkpoint.
getScheduledMicros() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 scheduled_micros = 9;
getScheduledMicros() - 类中的方法org.tensorflow.framework.NodeExecStats: int64 scheduled_micros = 9;
getScheduledMicros() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: int64 scheduled_micros = 9;
getScheduledNanos() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 scheduled_nanos = 17;
getScheduledNanos() - 类中的方法org.tensorflow.framework.NodeExecStats: int64 scheduled_nanos = 17;
getScheduledNanos() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: int64 scheduled_nanos = 17;
getScomplexVal(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
getScomplexVal(int) - 类中的方法org.tensorflow.framework.TensorProto: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
getScomplexVal(int) - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
getScomplexValCount() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
getScomplexValCount() - 类中的方法org.tensorflow.framework.TensorProto: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
getScomplexValCount() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
getScomplexValList() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
getScomplexValList() - 类中的方法org.tensorflow.framework.TensorProto: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
getScomplexValList() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
getScopedAllocatorOptimization() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
getScopedAllocatorOptimization() - 类中的方法org.tensorflow.framework.RewriterConfig: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
getScopedAllocatorOptimization() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
getScopedAllocatorOptimizationValue() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
getScopedAllocatorOptimizationValue() - 类中的方法org.tensorflow.framework.RewriterConfig: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
getScopedAllocatorOptimizationValue() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
getScopedAllocatorOpts() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
getScopedAllocatorOpts() - 类中的方法org.tensorflow.framework.RewriterConfig: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
getScopedAllocatorOpts() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
getScopedAllocatorOptsBuilder() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
getScopedAllocatorOptsOrBuilder() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
getScopedAllocatorOptsOrBuilder() - 类中的方法org.tensorflow.framework.RewriterConfig: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
getScopedAllocatorOptsOrBuilder() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
getScore() - 类中的方法tensorflow.serving.Classification.Class.Builder: Score for this class (e.g., the probability the item belongs to this class).
getScore() - 类中的方法tensorflow.serving.Classification.Class: Score for this class (e.g., the probability the item belongs to this class).
getScore() - 接口中的方法tensorflow.serving.Classification.ClassOrBuilder: Score for this class (e.g., the probability the item belongs to this class).
getSCount() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(string)" repeated bytes s = 2;
getSCount() - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(string)" repeated bytes s = 2;
getSCount() - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(string)" repeated bytes s = 2;
getSend(int) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Runs the graph.
getSend(int) - 类中的方法org.tensorflow.distruntime.RunGraphRequest: Runs the graph.
getSend(int) - 接口中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder: Runs the graph.
getSendBuilder(int) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Runs the graph.
getSendBuilderList() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Runs the graph.
getSendCount() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Runs the graph.
getSendCount() - 类中的方法org.tensorflow.distruntime.RunGraphRequest: Runs the graph.
getSendCount() - 接口中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder: Runs the graph.
getSendList() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Runs the graph.
getSendList() - 类中的方法org.tensorflow.distruntime.RunGraphRequest: Runs the graph.
getSendList() - 接口中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder: Runs the graph.
getSendOrBuilder(int) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Runs the graph.
getSendOrBuilder(int) - 类中的方法org.tensorflow.distruntime.RunGraphRequest: Runs the graph.
getSendOrBuilder(int) - 接口中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder: Runs the graph.
getSendOrBuilderList() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Runs the graph.
getSendOrBuilderList() - 类中的方法org.tensorflow.distruntime.RunGraphRequest: Runs the graph.
getSendOrBuilderList() - 接口中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder: Runs the graph.
getSendStartMicros() - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder: Optional, for timeline.
getSendStartMicros() - 类中的方法org.tensorflow.distruntime.RecvBufResponse: Optional, for timeline.
getSendStartMicros() - 接口中的方法org.tensorflow.distruntime.RecvBufResponseOrBuilder: Optional, for timeline.
getSendStartMicros() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder: The time at which tensor was available and started to be returned.
getSendStartMicros() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse: The time at which tensor was available and started to be returned.
getSendStartMicros() - 接口中的方法org.tensorflow.distruntime.RecvTensorResponseOrBuilder: The time at which tensor was available and started to be returned.
getSendTensorMethod() - 类中的静态方法tensorflow.eager.EagerServiceGrpc
getSerializedExecutorParameters() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Parameters given to the executor bytes serialized_executor_parameters = 5;
getSerializedExecutorParameters() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Optional: Parameters given to the executor bytes serialized_executor_parameters = 5;
getSerializedExecutorParameters() - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Optional: Parameters given to the executor bytes serialized_executor_parameters = 5;
getSerializedSize() - 类中的方法org.tensorflow.distruntime.CleanupAllRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.CleanupAllResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.CloseSessionRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.CloseSessionResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.ClusterDef
getSerializedSize() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.ExecutorOpts
getSerializedSize() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.GetStatusRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.GetStatusResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.JobDef
getSerializedSize() - 类中的方法org.tensorflow.distruntime.LabeledStepStats
getSerializedSize() - 类中的方法org.tensorflow.distruntime.ListDevicesRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.LoggingRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.LoggingResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.MakeCallableResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.RecvBufRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.RecvBufResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.ResetRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.ResetResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.RunCallableRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.RunCallableResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.RunGraphRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.RunGraphResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.RunStepRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.RunStepResponse
getSerializedSize() - 类中的方法org.tensorflow.distruntime.ServerDef
getSerializedSize() - 类中的方法org.tensorflow.distruntime.StepSequence
getSerializedSize() - 类中的方法org.tensorflow.distruntime.TraceOpts
getSerializedSize() - 类中的方法org.tensorflow.distruntime.TracingRequest
getSerializedSize() - 类中的方法org.tensorflow.distruntime.TracingResponse
getSerializedSize() - 类中的方法org.tensorflow.example.BytesList
getSerializedSize() - 类中的方法org.tensorflow.example.Example
getSerializedSize() - 类中的方法org.tensorflow.example.ExampleParserConfiguration
getSerializedSize() - 类中的方法org.tensorflow.example.Feature
getSerializedSize() - 类中的方法org.tensorflow.example.FeatureConfiguration
getSerializedSize() - 类中的方法org.tensorflow.example.FeatureList
getSerializedSize() - 类中的方法org.tensorflow.example.FeatureLists
getSerializedSize() - 类中的方法org.tensorflow.example.Features
getSerializedSize() - 类中的方法org.tensorflow.example.FixedLenFeatureProto
getSerializedSize() - 类中的方法org.tensorflow.example.FloatList
getSerializedSize() - 类中的方法org.tensorflow.example.Int64List
getSerializedSize() - 类中的方法org.tensorflow.example.SequenceExample
getSerializedSize() - 类中的方法org.tensorflow.example.VarLenFeatureProto
getSerializedSize() - 类中的方法org.tensorflow.framework.AllocationDescription
getSerializedSize() - 类中的方法org.tensorflow.framework.AllocationRecord
getSerializedSize() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed
getSerializedSize() - 类中的方法org.tensorflow.framework.ApiDef.Arg
getSerializedSize() - 类中的方法org.tensorflow.framework.ApiDef.Attr
getSerializedSize() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint
getSerializedSize() - 类中的方法org.tensorflow.framework.ApiDef
getSerializedSize() - 类中的方法org.tensorflow.framework.ApiDefs
getSerializedSize() - 类中的方法org.tensorflow.framework.AssetFileDef
getSerializedSize() - 类中的方法org.tensorflow.framework.AttrValue
getSerializedSize() - 类中的方法org.tensorflow.framework.AttrValue.ListValue
getSerializedSize() - 类中的方法org.tensorflow.framework.AutoParallelOptions
getSerializedSize() - 类中的方法org.tensorflow.framework.CallableOptions
getSerializedSize() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList
getSerializedSize() - 类中的方法org.tensorflow.framework.CollectionDef.BytesList
getSerializedSize() - 类中的方法org.tensorflow.framework.CollectionDef.FloatList
getSerializedSize() - 类中的方法org.tensorflow.framework.CollectionDef
getSerializedSize() - 类中的方法org.tensorflow.framework.CollectionDef.Int64List
getSerializedSize() - 类中的方法org.tensorflow.framework.CollectionDef.NodeList
getSerializedSize() - 类中的方法org.tensorflow.framework.CondContextDef
getSerializedSize() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental
getSerializedSize() - 类中的方法org.tensorflow.framework.ConfigProto
getSerializedSize() - 类中的方法org.tensorflow.framework.ControlFlowContextDef
getSerializedSize() - 类中的方法org.tensorflow.framework.CostGraphDef
getSerializedSize() - 类中的方法org.tensorflow.framework.CostGraphDef.Node
getSerializedSize() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
getSerializedSize() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
getSerializedSize() - 类中的方法org.tensorflow.framework.CriticalSectionDef
getSerializedSize() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef
getSerializedSize() - 类中的方法org.tensorflow.framework.DebuggedSourceFile
getSerializedSize() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles
getSerializedSize() - 类中的方法org.tensorflow.framework.DebugOptions
getSerializedSize() - 类中的方法org.tensorflow.framework.DebugTensorWatch
getSerializedSize() - 类中的方法org.tensorflow.framework.DeviceAttributes
getSerializedSize() - 类中的方法org.tensorflow.framework.DeviceLocality
getSerializedSize() - 类中的方法org.tensorflow.framework.DeviceStepStats
getSerializedSize() - 类中的方法org.tensorflow.framework.FunctionDef
getSerializedSize() - 类中的方法org.tensorflow.framework.FunctionDefLibrary
getSerializedSize() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental
getSerializedSize() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
getSerializedSize() - 类中的方法org.tensorflow.framework.GPUOptions
getSerializedSize() - 类中的方法org.tensorflow.framework.GradientDef
getSerializedSize() - 类中的方法org.tensorflow.framework.GraphDef
getSerializedSize() - 类中的方法org.tensorflow.framework.GraphOptions
getSerializedSize() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
getSerializedSize() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
getSerializedSize() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
getSerializedSize() - 类中的方法org.tensorflow.framework.GraphTransferInfo
getSerializedSize() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo
getSerializedSize() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput
getSerializedSize() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo
getSerializedSize() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo
getSerializedSize() - 类中的方法org.tensorflow.framework.HistogramProto
getSerializedSize() - 类中的方法org.tensorflow.framework.InterconnectLink
getSerializedSize() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint
getSerializedSize() - 类中的方法org.tensorflow.framework.KernelDef
getSerializedSize() - 类中的方法org.tensorflow.framework.KernelList
getSerializedSize() - 类中的方法org.tensorflow.framework.LocalLinks
getSerializedSize() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation
getSerializedSize() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation
getSerializedSize() - 类中的方法org.tensorflow.framework.MemoryLogStep
getSerializedSize() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation
getSerializedSize() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation
getSerializedSize() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput
getSerializedSize() - 类中的方法org.tensorflow.framework.MemoryStats
getSerializedSize() - 类中的方法org.tensorflow.framework.MetaGraphDef
getSerializedSize() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
getSerializedSize() - 类中的方法org.tensorflow.framework.NameAttrList
getSerializedSize() - 类中的方法org.tensorflow.framework.NamedTensorProto
getSerializedSize() - 类中的方法org.tensorflow.framework.NodeDef
getSerializedSize() - 类中的方法org.tensorflow.framework.NodeExecStats
getSerializedSize() - 类中的方法org.tensorflow.framework.NodeOutput
getSerializedSize() - 类中的方法org.tensorflow.framework.OpDef.ArgDef
getSerializedSize() - 类中的方法org.tensorflow.framework.OpDef.AttrDef
getSerializedSize() - 类中的方法org.tensorflow.framework.OpDef
getSerializedSize() - 类中的方法org.tensorflow.framework.OpDeprecation
getSerializedSize() - 类中的方法org.tensorflow.framework.OpList
getSerializedSize() - 类中的方法org.tensorflow.framework.OptimizerOptions
getSerializedSize() - 类中的方法org.tensorflow.framework.QueueRunnerDef
getSerializedSize() - 类中的方法org.tensorflow.framework.ReaderBaseState
getSerializedSize() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
getSerializedSize() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
getSerializedSize() - 类中的方法org.tensorflow.framework.ResourceHandleProto
getSerializedSize() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
getSerializedSize() - 类中的方法org.tensorflow.framework.RewriterConfig
getSerializedSize() - 类中的方法org.tensorflow.framework.RPCOptions
getSerializedSize() - 类中的方法org.tensorflow.framework.RunMetadata
getSerializedSize() - 类中的方法org.tensorflow.framework.RunOptions.Experimental
getSerializedSize() - 类中的方法org.tensorflow.framework.RunOptions
getSerializedSize() - 类中的方法org.tensorflow.framework.SavedModel
getSerializedSize() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef
getSerializedSize() - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions
getSerializedSize() - 类中的方法org.tensorflow.framework.SignatureDef
getSerializedSize() - 类中的方法org.tensorflow.framework.StepStats
getSerializedSize() - 类中的方法org.tensorflow.framework.Summary.Audio
getSerializedSize() - 类中的方法org.tensorflow.framework.Summary
getSerializedSize() - 类中的方法org.tensorflow.framework.Summary.Image
getSerializedSize() - 类中的方法org.tensorflow.framework.Summary.Value
getSerializedSize() - 类中的方法org.tensorflow.framework.SummaryDescription
getSerializedSize() - 类中的方法org.tensorflow.framework.SummaryMetadata
getSerializedSize() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData
getSerializedSize() - 类中的方法org.tensorflow.framework.TensorConnection
getSerializedSize() - 类中的方法org.tensorflow.framework.TensorDescription
getSerializedSize() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse
getSerializedSize() - 类中的方法org.tensorflow.framework.TensorInfo
getSerializedSize() - 类中的方法org.tensorflow.framework.TensorProto
getSerializedSize() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim
getSerializedSize() - 类中的方法org.tensorflow.framework.TensorShapeProto
getSerializedSize() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent
getSerializedSize() - 类中的方法org.tensorflow.framework.TensorSliceProto
getSerializedSize() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto
getSerializedSize() - 类中的方法org.tensorflow.framework.ValuesDef
getSerializedSize() - 类中的方法org.tensorflow.framework.VariableDef
getSerializedSize() - 类中的方法org.tensorflow.framework.VariantTensorDataProto
getSerializedSize() - 类中的方法org.tensorflow.framework.VersionDef
getSerializedSize() - 类中的方法org.tensorflow.framework.WhileContextDef
getSerializedSize() - 类中的方法org.tensorflow.util.BundleEntryProto
getSerializedSize() - 类中的方法org.tensorflow.util.BundleHeaderProto
getSerializedSize() - 类中的方法org.tensorflow.util.IteratorStateMetadata
getSerializedSize() - 类中的方法org.tensorflow.util.SaverDef
getSerializedSize() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
getSerializedSize() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
getSerializedSize() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
getSerializedSize() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
getSerializedSize() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
getSerializedSize() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
getSerializedSize() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice
getSerializedSize() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
getSerializedSize() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
getSerializedSize() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
getSerializedSize() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
getSerializedSize() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
getSerializedSize() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
getSerializedSize() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
getSerializedSize() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
getSerializedSize() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation
getSerializedSize() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem
getSerializedSize() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
getSerializedSize() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
getSerializedSize() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
getSerializedSize() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
getSerializedSize() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
getSerializedSize() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
getSerializedSize() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
getSerializedSize() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
getSerializedSize() - 类中的方法tensorflow.serving.Classification.Class
getSerializedSize() - 类中的方法tensorflow.serving.Classification.ClassificationRequest
getSerializedSize() - 类中的方法tensorflow.serving.Classification.ClassificationResponse
getSerializedSize() - 类中的方法tensorflow.serving.Classification.ClassificationResult
getSerializedSize() - 类中的方法tensorflow.serving.Classification.Classifications
getSerializedSize() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
getSerializedSize() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
getSerializedSize() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
getSerializedSize() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
getSerializedSize() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
getSerializedSize() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
getSerializedSize() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
getSerializedSize() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
getSerializedSize() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
getSerializedSize() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
getSerializedSize() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
getSerializedSize() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus
getSerializedSize() - 类中的方法tensorflow.serving.Inference.InferenceResult
getSerializedSize() - 类中的方法tensorflow.serving.Inference.InferenceTask
getSerializedSize() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest
getSerializedSize() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse
getSerializedSize() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList
getSerializedSize() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
getSerializedSize() - 类中的方法tensorflow.serving.InputOuterClass.Input
getSerializedSize() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
getSerializedSize() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
getSerializedSize() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
getSerializedSize() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
getSerializedSize() - 类中的方法tensorflow.serving.Logging.LogMetadata
getSerializedSize() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
getSerializedSize() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
getSerializedSize() - 类中的方法tensorflow.serving.Model.ModelSpec
getSerializedSize() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest
getSerializedSize() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse
getSerializedSize() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
getSerializedSize() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
getSerializedSize() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
getSerializedSize() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
getSerializedSize() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
getSerializedSize() - 类中的方法tensorflow.serving.Predict.PredictRequest
getSerializedSize() - 类中的方法tensorflow.serving.Predict.PredictResponse
getSerializedSize() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
getSerializedSize() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
getSerializedSize() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
getSerializedSize() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog
getSerializedSize() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog
getSerializedSize() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
getSerializedSize() - 类中的方法tensorflow.serving.RegressionOuterClass.Regression
getSerializedSize() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest
getSerializedSize() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse
getSerializedSize() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult
getSerializedSize() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
getSerializedSize() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
getSerializedSize() - 类中的方法tensorflow.serving.SslConfig.SSLConfig
getSerializedSize() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
getSerializedSize() - 类中的方法tensorflow.serving.Status.StatusProto
getSerializedSize() - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra
getServableName() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: 已过时。
getServableName() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig: 已过时。
getServableName() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder: The servable name to supply in aspired-versions callback calls.
getServableName() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor: The servable name to supply in aspired-versions callback calls.
getServableName() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitorOrBuilder: The servable name to supply in aspired-versions callback calls.
getServableName() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder: 已过时。
getServableName() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder: The single servable name, version number and path to supply statically.
getServableName() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig: The single servable name, version number and path to supply statically.
getServableName() - 接口中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfigOrBuilder: The single servable name, version number and path to supply statically.
getServableNameBytes() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: 已过时。
getServableNameBytes() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig: 已过时。
getServableNameBytes() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder: The servable name to supply in aspired-versions callback calls.
getServableNameBytes() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor: The servable name to supply in aspired-versions callback calls.
getServableNameBytes() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitorOrBuilder: The servable name to supply in aspired-versions callback calls.
getServableNameBytes() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder: 已过时。
getServableNameBytes() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder: The single servable name, version number and path to supply statically.
getServableNameBytes() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig: The single servable name, version number and path to supply statically.
getServableNameBytes() - 接口中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfigOrBuilder: The single servable name, version number and path to supply statically.
getServables(int) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: The servables to monitor for new versions, and aspire.
getServables(int) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig: The servables to monitor for new versions, and aspire.
getServables(int) - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder: The servables to monitor for new versions, and aspire.
getServablesBuilder(int) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: The servables to monitor for new versions, and aspire.
getServablesBuilderList() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: The servables to monitor for new versions, and aspire.
getServablesCount() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: The servables to monitor for new versions, and aspire.
getServablesCount() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig: The servables to monitor for new versions, and aspire.
getServablesCount() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder: The servables to monitor for new versions, and aspire.
getServablesList() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: The servables to monitor for new versions, and aspire.
getServablesList() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig: The servables to monitor for new versions, and aspire.
getServablesList() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder: The servables to monitor for new versions, and aspire.
getServablesOrBuilder(int) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: The servables to monitor for new versions, and aspire.
getServablesOrBuilder(int) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig: The servables to monitor for new versions, and aspire.
getServablesOrBuilder(int) - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder: The servables to monitor for new versions, and aspire.
getServablesOrBuilderList() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: The servables to monitor for new versions, and aspire.
getServablesOrBuilderList() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig: The servables to monitor for new versions, and aspire.
getServablesOrBuilderList() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder: The servables to monitor for new versions, and aspire.
getServableVersionPolicy() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder: The policy to determines the number of versions of the servable to be served at the same time.
getServableVersionPolicy() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor: The policy to determines the number of versions of the servable to be served at the same time.
getServableVersionPolicy() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitorOrBuilder: The policy to determines the number of versions of the servable to be served at the same time.
getServableVersionPolicyBuilder() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder: The policy to determines the number of versions of the servable to be served at the same time.
getServableVersionPolicyOrBuilder() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder: The policy to determines the number of versions of the servable to be served at the same time.
getServableVersionPolicyOrBuilder() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor: The policy to determines the number of versions of the servable to be served at the same time.
getServableVersionPolicyOrBuilder() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitorOrBuilder: The policy to determines the number of versions of the servable to be served at the same time.
getServerCert() - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder: public server certificate string server_cert = 2;
getServerCert() - 类中的方法tensorflow.serving.SslConfig.SSLConfig: public server certificate string server_cert = 2;
getServerCert() - 接口中的方法tensorflow.serving.SslConfig.SSLConfigOrBuilder: public server certificate string server_cert = 2;
getServerCertBytes() - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder: public server certificate string server_cert = 2;
getServerCertBytes() - 类中的方法tensorflow.serving.SslConfig.SSLConfig: public server certificate string server_cert = 2;
getServerCertBytes() - 接口中的方法tensorflow.serving.SslConfig.SSLConfigOrBuilder: public server certificate string server_cert = 2;
getServerDef() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder: Defines the configuration of a TensorFlow worker.
getServerDef() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest: Defines the configuration of a TensorFlow worker.
getServerDef() - 接口中的方法org.tensorflow.distruntime.CreateWorkerSessionRequestOrBuilder: Defines the configuration of a TensorFlow worker.
getServerDef() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: Identifies the full cluster, and this particular worker's position within.
getServerDef() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest: Identifies the full cluster, and this particular worker's position within.
getServerDef() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder: Identifies the full cluster, and this particular worker's position within.
getServerDefBuilder() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder: Defines the configuration of a TensorFlow worker.
getServerDefBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: Identifies the full cluster, and this particular worker's position within.
getServerDefOrBuilder() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder: Defines the configuration of a TensorFlow worker.
getServerDefOrBuilder() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest: Defines the configuration of a TensorFlow worker.
getServerDefOrBuilder() - 接口中的方法org.tensorflow.distruntime.CreateWorkerSessionRequestOrBuilder: Defines the configuration of a TensorFlow worker.
getServerDefOrBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: Identifies the full cluster, and this particular worker's position within.
getServerDefOrBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest: Identifies the full cluster, and this particular worker's position within.
getServerDefOrBuilder() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder: Identifies the full cluster, and this particular worker's position within.
getServerKey() - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder: private server key for SSL string server_key = 1;
getServerKey() - 类中的方法tensorflow.serving.SslConfig.SSLConfig: private server key for SSL string server_key = 1;
getServerKey() - 接口中的方法tensorflow.serving.SslConfig.SSLConfigOrBuilder: private server key for SSL string server_key = 1;
getServerKeyBytes() - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder: private server key for SSL string server_key = 1;
getServerKeyBytes() - 类中的方法tensorflow.serving.SslConfig.SSLConfig: private server key for SSL string server_key = 1;
getServerKeyBytes() - 接口中的方法tensorflow.serving.SslConfig.SSLConfigOrBuilder: private server key for SSL string server_key = 1;
getServerLocality() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional information on server-side device locality.
getServerLocality() - 类中的方法org.tensorflow.distruntime.RecvBufRequest: Optional information on server-side device locality.
getServerLocality() - 接口中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder: Optional information on server-side device locality.
getServerLocality() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information on server-side device locality.
getServerLocality() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest: Optional information on server-side device locality.
getServerLocality() - 接口中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder: Optional information on server-side device locality.
getServerLocalityBuilder() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional information on server-side device locality.
getServerLocalityBuilder() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information on server-side device locality.
getServerLocalityOrBuilder() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional information on server-side device locality.
getServerLocalityOrBuilder() - 类中的方法org.tensorflow.distruntime.RecvBufRequest: Optional information on server-side device locality.
getServerLocalityOrBuilder() - 接口中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder: Optional information on server-side device locality.
getServerLocalityOrBuilder() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information on server-side device locality.
getServerLocalityOrBuilder() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest: Optional information on server-side device locality.
getServerLocalityOrBuilder() - 接口中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder: Optional information on server-side device locality.
getServiceDescriptor() - 类中的静态方法org.tensorflow.distruntime.MasterServiceGrpc
getServiceDescriptor() - 类中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
getServiceDescriptor() - 类中的静态方法tensorflow.eager.EagerServiceGrpc
getServiceDescriptor() - 类中的静态方法tensorflow.serving.ModelServiceGrpc
getServiceDescriptor() - 类中的静态方法tensorflow.serving.PredictionServiceGrpc
getServiceDescriptor() - 类中的静态方法tensorflow.serving.SessionServiceGrpc
getSessionHandle() - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.CloseSessionRequest: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 接口中的方法org.tensorflow.distruntime.CloseSessionRequestOrBuilder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder: The session handle to be used in subsequent calls for the created session.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse: The session handle to be used in subsequent calls for the created session.
getSessionHandle() - 接口中的方法org.tensorflow.distruntime.CreateSessionResponseOrBuilder: The session handle to be used in subsequent calls for the created session.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder: Sessions are identified by a given handle.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest: Sessions are identified by a given handle.
getSessionHandle() - 接口中的方法org.tensorflow.distruntime.CreateWorkerSessionRequestOrBuilder: Sessions are identified by a given handle.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder: Sessions are identified by a given handle.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest: Sessions are identified by a given handle.
getSessionHandle() - 接口中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequestOrBuilder: Sessions are identified by a given handle.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder: The session_handle used when registering the graph.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest: The session_handle used when registering the graph.
getSessionHandle() - 接口中的方法org.tensorflow.distruntime.DeregisterGraphRequestOrBuilder: The session_handle used when registering the graph.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 接口中的方法org.tensorflow.distruntime.ExtendSessionRequestOrBuilder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder: Optional: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.ListDevicesRequest: Optional: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 接口中的方法org.tensorflow.distruntime.ListDevicesRequestOrBuilder: Optional: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 接口中的方法org.tensorflow.distruntime.MakeCallableRequestOrBuilder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 接口中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Subgraphs are scoped within one session.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest: Subgraphs are scoped within one session.
getSessionHandle() - 接口中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder: Subgraphs are scoped within one session.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 接口中的方法org.tensorflow.distruntime.ReleaseCallableRequestOrBuilder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.RunCallableRequest: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 接口中的方法org.tensorflow.distruntime.RunCallableRequestOrBuilder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: session_handle is the master-generated unique id for this session.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.RunGraphRequest: session_handle is the master-generated unique id for this session.
getSessionHandle() - 接口中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder: session_handle is the master-generated unique id for this session.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 类中的方法org.tensorflow.distruntime.RunStepRequest: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandle() - 接口中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.CloseSessionRequest: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 接口中的方法org.tensorflow.distruntime.CloseSessionRequestOrBuilder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder: The session handle to be used in subsequent calls for the created session.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse: The session handle to be used in subsequent calls for the created session.
getSessionHandleBytes() - 接口中的方法org.tensorflow.distruntime.CreateSessionResponseOrBuilder: The session handle to be used in subsequent calls for the created session.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder: Sessions are identified by a given handle.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest: Sessions are identified by a given handle.
getSessionHandleBytes() - 接口中的方法org.tensorflow.distruntime.CreateWorkerSessionRequestOrBuilder: Sessions are identified by a given handle.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder: Sessions are identified by a given handle.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest: Sessions are identified by a given handle.
getSessionHandleBytes() - 接口中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequestOrBuilder: Sessions are identified by a given handle.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder: The session_handle used when registering the graph.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest: The session_handle used when registering the graph.
getSessionHandleBytes() - 接口中的方法org.tensorflow.distruntime.DeregisterGraphRequestOrBuilder: The session_handle used when registering the graph.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 接口中的方法org.tensorflow.distruntime.ExtendSessionRequestOrBuilder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder: Optional: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.ListDevicesRequest: Optional: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 接口中的方法org.tensorflow.distruntime.ListDevicesRequestOrBuilder: Optional: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 接口中的方法org.tensorflow.distruntime.MakeCallableRequestOrBuilder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 接口中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Subgraphs are scoped within one session.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest: Subgraphs are scoped within one session.
getSessionHandleBytes() - 接口中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder: Subgraphs are scoped within one session.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 接口中的方法org.tensorflow.distruntime.ReleaseCallableRequestOrBuilder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.RunCallableRequest: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 接口中的方法org.tensorflow.distruntime.RunCallableRequestOrBuilder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: session_handle is the master-generated unique id for this session.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.RunGraphRequest: session_handle is the master-generated unique id for this session.
getSessionHandleBytes() - 接口中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder: session_handle is the master-generated unique id for this session.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 类中的方法org.tensorflow.distruntime.RunStepRequest: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionHandleBytes() - 接口中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
getSessionInterOpThreadPool(int) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPool(int) - 类中的方法org.tensorflow.framework.ConfigProto: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPool(int) - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolBuilder(int) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolBuilderList() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolCount() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolCount() - 类中的方法org.tensorflow.framework.ConfigProto: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolCount() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolList() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolList() - 类中的方法org.tensorflow.framework.ConfigProto: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolList() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolOrBuilder(int) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolOrBuilder(int) - 类中的方法org.tensorflow.framework.ConfigProto: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolOrBuilder(int) - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolOrBuilderList() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolOrBuilderList() - 类中的方法org.tensorflow.framework.ConfigProto: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolOrBuilderList() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionRunLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.SessionRunLog session_run_log = 5;
getSessionRunLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog: .tensorflow.serving.SessionRunLog session_run_log = 5;
getSessionRunLog() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder: .tensorflow.serving.SessionRunLog session_run_log = 5;
getSessionRunLogBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.SessionRunLog session_run_log = 5;
getSessionRunLogOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.SessionRunLog session_run_log = 5;
getSessionRunLogOrBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog: .tensorflow.serving.SessionRunLog session_run_log = 5;
getSessionRunLogOrBuilder() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder: .tensorflow.serving.SessionRunLog session_run_log = 5;
getSessionRunMethod() - 类中的静态方法tensorflow.serving.SessionServiceGrpc
getShape() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: .tensorflow.TensorShapeProto shape = 4;
getShape() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest: .tensorflow.TensorShapeProto shape = 4;
getShape() - 接口中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder: .tensorflow.TensorShapeProto shape = 4;
getShape() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShape() - 类中的方法org.tensorflow.example.FixedLenFeatureProto: .tensorflow.TensorShapeProto shape = 2;
getShape() - 接口中的方法org.tensorflow.example.FixedLenFeatureProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShape() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "shape" .tensorflow.TensorShapeProto shape = 7;
getShape() - 类中的方法org.tensorflow.framework.AttrValue: "shape" .tensorflow.TensorShapeProto shape = 7;
getShape(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
getShape(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
getShape(int) - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
getShape() - 接口中的方法org.tensorflow.framework.AttrValueOrBuilder: "shape" .tensorflow.TensorShapeProto shape = 7;
getShape() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
getShape() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo: .tensorflow.TensorShapeProto shape = 3;
getShape() - 接口中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder: .tensorflow.TensorShapeProto shape = 3;
getShape(int) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: repeated int64 shape = 3;
getShape(int) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo: repeated int64 shape = 3;
getShape(int) - 接口中的方法org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder: repeated int64 shape = 3;
getShape(int) - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder: repeated int64 shape = 2;
getShape(int) - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo: repeated int64 shape = 2;
getShape(int) - 接口中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder: repeated int64 shape = 2;
getShape(int) - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder: repeated int64 shape = 2;
getShape(int) - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo: repeated int64 shape = 2;
getShape(int) - 接口中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder: repeated int64 shape = 2;
getShape() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShape() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto: .tensorflow.TensorShapeProto shape = 2;
getShape() - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShape() - 类中的方法org.tensorflow.framework.TensorDescription.Builder: Shape of the tensor.
getShape() - 类中的方法org.tensorflow.framework.TensorDescription: Shape of the tensor.
getShape() - 接口中的方法org.tensorflow.framework.TensorDescriptionOrBuilder: Shape of the tensor.
getShape() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShape() - 类中的方法org.tensorflow.util.BundleEntryProto: .tensorflow.TensorShapeProto shape = 2;
getShape() - 接口中的方法org.tensorflow.util.BundleEntryProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShape(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder: repeated .tensorflow.TensorShapeProto shape = 1;
getShape(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse: repeated .tensorflow.TensorShapeProto shape = 1;
getShape(int) - 接口中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponseOrBuilder: repeated .tensorflow.TensorShapeProto shape = 1;
getShapeBuilder() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: .tensorflow.TensorShapeProto shape = 4;
getShapeBuilder() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeBuilder() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "shape" .tensorflow.TensorShapeProto shape = 7;
getShapeBuilder(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
getShapeBuilder() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
getShapeBuilder() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeBuilder() - 类中的方法org.tensorflow.framework.TensorDescription.Builder: Shape of the tensor.
getShapeBuilder() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder: repeated .tensorflow.TensorShapeProto shape = 1;
getShapeBuilderList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
getShapeBuilderList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder: repeated .tensorflow.TensorShapeProto shape = 1;
getShapeCount() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
getShapeCount() - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
getShapeCount() - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
getShapeCount() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: repeated int64 shape = 3;
getShapeCount() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo: repeated int64 shape = 3;
getShapeCount() - 接口中的方法org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder: repeated int64 shape = 3;
getShapeCount() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder: repeated int64 shape = 2;
getShapeCount() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo: repeated int64 shape = 2;
getShapeCount() - 接口中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder: repeated int64 shape = 2;
getShapeCount() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder: repeated int64 shape = 2;
getShapeCount() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo: repeated int64 shape = 2;
getShapeCount() - 接口中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder: repeated int64 shape = 2;
getShapeCount() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder: repeated .tensorflow.TensorShapeProto shape = 1;
getShapeCount() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse: repeated .tensorflow.TensorShapeProto shape = 1;
getShapeCount() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponseOrBuilder: repeated .tensorflow.TensorShapeProto shape = 1;
getShapeList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
getShapeList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
getShapeList() - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
getShapeList() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: repeated int64 shape = 3;
getShapeList() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo: repeated int64 shape = 3;
getShapeList() - 接口中的方法org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder: repeated int64 shape = 3;
getShapeList() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder: repeated int64 shape = 2;
getShapeList() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo: repeated int64 shape = 2;
getShapeList() - 接口中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder: repeated int64 shape = 2;
getShapeList() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder: repeated int64 shape = 2;
getShapeList() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo: repeated int64 shape = 2;
getShapeList() - 接口中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder: repeated int64 shape = 2;
getShapeList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder: repeated .tensorflow.TensorShapeProto shape = 1;
getShapeList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse: repeated .tensorflow.TensorShapeProto shape = 1;
getShapeList() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponseOrBuilder: repeated .tensorflow.TensorShapeProto shape = 1;
getShapeOptimization() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Shape optimizations (default is ON) Simplify computations made on shapes.
getShapeOptimization() - 类中的方法org.tensorflow.framework.RewriterConfig: Shape optimizations (default is ON) Simplify computations made on shapes.
getShapeOptimization() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Shape optimizations (default is ON) Simplify computations made on shapes.
getShapeOptimizationValue() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Shape optimizations (default is ON) Simplify computations made on shapes.
getShapeOptimizationValue() - 类中的方法org.tensorflow.framework.RewriterConfig: Shape optimizations (default is ON) Simplify computations made on shapes.
getShapeOptimizationValue() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Shape optimizations (default is ON) Simplify computations made on shapes.
getShapeOrBuilder() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: .tensorflow.TensorShapeProto shape = 4;
getShapeOrBuilder() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest: .tensorflow.TensorShapeProto shape = 4;
getShapeOrBuilder() - 接口中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder: .tensorflow.TensorShapeProto shape = 4;
getShapeOrBuilder() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - 类中的方法org.tensorflow.example.FixedLenFeatureProto: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - 接口中的方法org.tensorflow.example.FixedLenFeatureProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "shape" .tensorflow.TensorShapeProto shape = 7;
getShapeOrBuilder() - 类中的方法org.tensorflow.framework.AttrValue: "shape" .tensorflow.TensorShapeProto shape = 7;
getShapeOrBuilder(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
getShapeOrBuilder(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
getShapeOrBuilder(int) - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
getShapeOrBuilder() - 接口中的方法org.tensorflow.framework.AttrValueOrBuilder: "shape" .tensorflow.TensorShapeProto shape = 7;
getShapeOrBuilder() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
getShapeOrBuilder() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo: .tensorflow.TensorShapeProto shape = 3;
getShapeOrBuilder() - 接口中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder: .tensorflow.TensorShapeProto shape = 3;
getShapeOrBuilder() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - 类中的方法org.tensorflow.framework.TensorDescription.Builder: Shape of the tensor.
getShapeOrBuilder() - 类中的方法org.tensorflow.framework.TensorDescription: Shape of the tensor.
getShapeOrBuilder() - 接口中的方法org.tensorflow.framework.TensorDescriptionOrBuilder: Shape of the tensor.
getShapeOrBuilder() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - 类中的方法org.tensorflow.util.BundleEntryProto: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - 接口中的方法org.tensorflow.util.BundleEntryProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder: repeated .tensorflow.TensorShapeProto shape = 1;
getShapeOrBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse: repeated .tensorflow.TensorShapeProto shape = 1;
getShapeOrBuilder(int) - 接口中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponseOrBuilder: repeated .tensorflow.TensorShapeProto shape = 1;
getShapeOrBuilderList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
getShapeOrBuilderList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
getShapeOrBuilderList() - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
getShapeOrBuilderList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder: repeated .tensorflow.TensorShapeProto shape = 1;
getShapeOrBuilderList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse: repeated .tensorflow.TensorShapeProto shape = 1;
getShapeOrBuilderList() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponseOrBuilder: repeated .tensorflow.TensorShapeProto shape = 1;
getShapesOutputTensorName() - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder: string shapes_output_tensor_name = 4;
getShapesOutputTensorName() - 类中的方法org.tensorflow.example.VarLenFeatureProto: string shapes_output_tensor_name = 4;
getShapesOutputTensorName() - 接口中的方法org.tensorflow.example.VarLenFeatureProtoOrBuilder: string shapes_output_tensor_name = 4;
getShapesOutputTensorNameBytes() - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder: string shapes_output_tensor_name = 4;
getShapesOutputTensorNameBytes() - 类中的方法org.tensorflow.example.VarLenFeatureProto: string shapes_output_tensor_name = 4;
getShapesOutputTensorNameBytes() - 接口中的方法org.tensorflow.example.VarLenFeatureProtoOrBuilder: string shapes_output_tensor_name = 4;
getSharded() - 类中的方法org.tensorflow.util.SaverDef.Builder: Shard the save files, one per device that has Variable nodes.
getSharded() - 类中的方法org.tensorflow.util.SaverDef: Shard the save files, one per device that has Variable nodes.
getSharded() - 接口中的方法org.tensorflow.util.SaverDefOrBuilder: Shard the save files, one per device that has Variable nodes.
getShardId() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
getShardId() - 类中的方法org.tensorflow.util.BundleEntryProto: The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
getShardId() - 接口中的方法org.tensorflow.util.BundleEntryProtoOrBuilder: The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
getSharedMemorySizePerMultiprocessor() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Shared memory size per multiprocessor in bytes.
getSharedMemorySizePerMultiprocessor() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties: Shared memory size per multiprocessor in bytes.
getSharedMemorySizePerMultiprocessor() - 接口中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder: Shared memory size per multiprocessor in bytes.
getSignature() - 类中的方法org.tensorflow.framework.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
getSignature() - 类中的方法org.tensorflow.framework.FunctionDef: The definition of the function's name, arguments, return values, attrs etc.
getSignature() - 接口中的方法org.tensorflow.framework.FunctionDefOrBuilder: The definition of the function's name, arguments, return values, attrs etc.
getSignatureBuilder() - 类中的方法org.tensorflow.framework.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
getSignatureDef() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: 已过时。
getSignatureDef() - 类中的方法org.tensorflow.framework.MetaGraphDef: 已过时。
getSignatureDef() - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: 已过时。
getSignatureDef() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder: 已过时。
getSignatureDef() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap: 已过时。
getSignatureDef() - 接口中的方法tensorflow.serving.GetModelMetadata.SignatureDefMapOrBuilder: 已过时。
getSignatureDefCount() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
getSignatureDefCount() - 类中的方法org.tensorflow.framework.MetaGraphDef
getSignatureDefCount() - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefCount() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
getSignatureDefCount() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
getSignatureDefCount() - 接口中的方法tensorflow.serving.GetModelMetadata.SignatureDefMapOrBuilder: map<string, .tensorflow.SignatureDef> signature_def = 1;
getSignatureDefMap() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefMap() - 类中的方法org.tensorflow.framework.MetaGraphDef: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefMap() - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefMap() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder: map<string, .tensorflow.SignatureDef> signature_def = 1;
getSignatureDefMap() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap: map<string, .tensorflow.SignatureDef> signature_def = 1;
getSignatureDefMap() - 接口中的方法tensorflow.serving.GetModelMetadata.SignatureDefMapOrBuilder: map<string, .tensorflow.SignatureDef> signature_def = 1;
getSignatureDefOrDefault(String, SignatureDef) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefOrDefault(String, SignatureDef) - 类中的方法org.tensorflow.framework.MetaGraphDef: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefOrDefault(String, SignatureDef) - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefOrDefault(String, SignatureDef) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder: map<string, .tensorflow.SignatureDef> signature_def = 1;
getSignatureDefOrDefault(String, SignatureDef) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap: map<string, .tensorflow.SignatureDef> signature_def = 1;
getSignatureDefOrDefault(String, SignatureDef) - 接口中的方法tensorflow.serving.GetModelMetadata.SignatureDefMapOrBuilder: map<string, .tensorflow.SignatureDef> signature_def = 1;
getSignatureDefOrThrow(String) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefOrThrow(String) - 类中的方法org.tensorflow.framework.MetaGraphDef: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefOrThrow(String) - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefOrThrow(String) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder: map<string, .tensorflow.SignatureDef> signature_def = 1;
getSignatureDefOrThrow(String) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap: map<string, .tensorflow.SignatureDef> signature_def = 1;
getSignatureDefOrThrow(String) - 接口中的方法tensorflow.serving.GetModelMetadata.SignatureDefMapOrBuilder: map<string, .tensorflow.SignatureDef> signature_def = 1;
getSignatureName() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: A named signature to evaluate.
getSignatureName() - 类中的方法tensorflow.serving.Model.ModelSpec: A named signature to evaluate.
getSignatureName() - 接口中的方法tensorflow.serving.Model.ModelSpecOrBuilder: A named signature to evaluate.
getSignatureNameBytes() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: A named signature to evaluate.
getSignatureNameBytes() - 类中的方法tensorflow.serving.Model.ModelSpec: A named signature to evaluate.
getSignatureNameBytes() - 接口中的方法tensorflow.serving.Model.ModelSpecOrBuilder: A named signature to evaluate.
getSignatureOrBuilder() - 类中的方法org.tensorflow.framework.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
getSignatureOrBuilder() - 类中的方法org.tensorflow.framework.FunctionDef: The definition of the function's name, arguments, return values, attrs etc.
getSignatureOrBuilder() - 接口中的方法org.tensorflow.framework.FunctionDefOrBuilder: The definition of the function's name, arguments, return values, attrs etc.
getSimpleValue() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: float simple_value = 2;
getSimpleValue() - 类中的方法org.tensorflow.framework.Summary.Value: float simple_value = 2;
getSimpleValue() - 接口中的方法org.tensorflow.framework.Summary.ValueOrBuilder: float simple_value = 2;
getSize() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder: int64 size = 1;
getSize() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo: int64 size = 1;
getSize() - 接口中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder: int64 size = 1;
getSize() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder: Size of the tensor in that dimension.
getSize() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim: Size of the tensor in that dimension.
getSize() - 接口中的方法org.tensorflow.framework.TensorShapeProto.DimOrBuilder: Size of the tensor in that dimension.
getSize() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: int64 size = 5;
getSize() - 类中的方法org.tensorflow.util.BundleEntryProto: int64 size = 5;
getSize() - 接口中的方法org.tensorflow.util.BundleEntryProtoOrBuilder: int64 size = 5;
getSlices(int) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
getSlices(int) - 类中的方法org.tensorflow.util.BundleEntryProto: Iff present, this entry represents a partitioned tensor.
getSlices(int) - 接口中的方法org.tensorflow.util.BundleEntryProtoOrBuilder: Iff present, this entry represents a partitioned tensor.
getSlicesBuilder(int) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
getSlicesBuilderList() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
getSlicesCount() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
getSlicesCount() - 类中的方法org.tensorflow.util.BundleEntryProto: Iff present, this entry represents a partitioned tensor.
getSlicesCount() - 接口中的方法org.tensorflow.util.BundleEntryProtoOrBuilder: Iff present, this entry represents a partitioned tensor.
getSlicesList() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
getSlicesList() - 类中的方法org.tensorflow.util.BundleEntryProto: Iff present, this entry represents a partitioned tensor.
getSlicesList() - 接口中的方法org.tensorflow.util.BundleEntryProtoOrBuilder: Iff present, this entry represents a partitioned tensor.
getSlicesOrBuilder(int) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
getSlicesOrBuilder(int) - 类中的方法org.tensorflow.util.BundleEntryProto: Iff present, this entry represents a partitioned tensor.
getSlicesOrBuilder(int) - 接口中的方法org.tensorflow.util.BundleEntryProtoOrBuilder: Iff present, this entry represents a partitioned tensor.
getSlicesOrBuilderList() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
getSlicesOrBuilderList() - 类中的方法org.tensorflow.util.BundleEntryProto: Iff present, this entry represents a partitioned tensor.
getSlicesOrBuilderList() - 接口中的方法org.tensorflow.util.BundleEntryProtoOrBuilder: Iff present, this entry represents a partitioned tensor.
getSList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(string)" repeated bytes s = 2;
getSList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(string)" repeated bytes s = 2;
getSList() - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(string)" repeated bytes s = 2;
getSlot() - 类中的方法org.tensorflow.framework.NodeOutput.Builder: int32 slot = 1;
getSlot() - 类中的方法org.tensorflow.framework.NodeOutput: int32 slot = 1;
getSlot() - 接口中的方法org.tensorflow.framework.NodeOutputOrBuilder: int32 slot = 1;
getSlotName() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder: The name of the slot (e.g.
getSlotName() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference: The name of the slot (e.g.
getSlotName() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReferenceOrBuilder: The name of the slot (e.g.
getSlotNameBytes() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder: The name of the slot (e.g.
getSlotNameBytes() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference: The name of the slot (e.g.
getSlotNameBytes() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReferenceOrBuilder: The name of the slot (e.g.
getSlotVariableNodeId() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder: An index into `CheckpointableObjectGraph.nodes`, indicating the `Object` with the value of the slot variable.
getSlotVariableNodeId() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference: An index into `CheckpointableObjectGraph.nodes`, indicating the `Object` with the value of the slot variable.
getSlotVariableNodeId() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReferenceOrBuilder: An index into `CheckpointableObjectGraph.nodes`, indicating the `Object` with the value of the slot variable.
getSlotVariables(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Slot variables owned by this object.
getSlotVariables(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject: Slot variables owned by this object.
getSlotVariables(int) - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder: Slot variables owned by this object.
getSlotVariablesBuilder(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Slot variables owned by this object.
getSlotVariablesBuilderList() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Slot variables owned by this object.
getSlotVariablesCount() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Slot variables owned by this object.
getSlotVariablesCount() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject: Slot variables owned by this object.
getSlotVariablesCount() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder: Slot variables owned by this object.
getSlotVariablesList() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Slot variables owned by this object.
getSlotVariablesList() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject: Slot variables owned by this object.
getSlotVariablesList() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder: Slot variables owned by this object.
getSlotVariablesOrBuilder(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Slot variables owned by this object.
getSlotVariablesOrBuilder(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject: Slot variables owned by this object.
getSlotVariablesOrBuilder(int) - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder: Slot variables owned by this object.
getSlotVariablesOrBuilderList() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Slot variables owned by this object.
getSlotVariablesOrBuilderList() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject: Slot variables owned by this object.
getSlotVariablesOrBuilderList() - 接口中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder: Slot variables owned by this object.
getSnapshotName() - 类中的方法org.tensorflow.framework.VariableDef.Builder: Name of the snapshot tensor.
getSnapshotName() - 类中的方法org.tensorflow.framework.VariableDef: Name of the snapshot tensor.
getSnapshotName() - 接口中的方法org.tensorflow.framework.VariableDefOrBuilder: Name of the snapshot tensor.
getSnapshotNameBytes() - 类中的方法org.tensorflow.framework.VariableDef.Builder: Name of the snapshot tensor.
getSnapshotNameBytes() - 类中的方法org.tensorflow.framework.VariableDef: Name of the snapshot tensor.
getSnapshotNameBytes() - 接口中的方法org.tensorflow.framework.VariableDefOrBuilder: Name of the snapshot tensor.
getSocOpId() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: int32 soc_op_id = 4;
getSocOpId() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo: int32 soc_op_id = 4;
getSocOpId() - 接口中的方法org.tensorflow.framework.GraphTransferNodeInfoOrBuilder: int32 soc_op_id = 4;
getSourceAdapterConfig() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder: The config proto for a SourceAdapter in the StoragePathSourceAdapter registry.
getSourceAdapterConfig() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig: The config proto for a SourceAdapter in the StoragePathSourceAdapter registry.
getSourceAdapterConfig() - 接口中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigOrBuilder: The config proto for a SourceAdapter in the StoragePathSourceAdapter registry.
getSourceAdapterConfigBuilder() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder: The config proto for a SourceAdapter in the StoragePathSourceAdapter registry.
getSourceAdapterConfigOrBuilder() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder: The config proto for a SourceAdapter in the StoragePathSourceAdapter registry.
getSourceAdapterConfigOrBuilder() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig: The config proto for a SourceAdapter in the StoragePathSourceAdapter registry.
getSourceAdapterConfigOrBuilder() - 接口中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigOrBuilder: The config proto for a SourceAdapter in the StoragePathSourceAdapter registry.
getSourceFiles(int) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder: A collection of source code files.
getSourceFiles(int) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles: A collection of source code files.
getSourceFiles(int) - 接口中的方法org.tensorflow.framework.DebuggedSourceFilesOrBuilder: A collection of source code files.
getSourceFilesBuilder(int) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder: A collection of source code files.
getSourceFilesBuilderList() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder: A collection of source code files.
getSourceFilesCount() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder: A collection of source code files.
getSourceFilesCount() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles: A collection of source code files.
getSourceFilesCount() - 接口中的方法org.tensorflow.framework.DebuggedSourceFilesOrBuilder: A collection of source code files.
getSourceFilesList() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder: A collection of source code files.
getSourceFilesList() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles: A collection of source code files.
getSourceFilesList() - 接口中的方法org.tensorflow.framework.DebuggedSourceFilesOrBuilder: A collection of source code files.
getSourceFilesOrBuilder(int) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder: A collection of source code files.
getSourceFilesOrBuilder(int) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles: A collection of source code files.
getSourceFilesOrBuilder(int) - 接口中的方法org.tensorflow.framework.DebuggedSourceFilesOrBuilder: A collection of source code files.
getSourceFilesOrBuilderList() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder: A collection of source code files.
getSourceFilesOrBuilderList() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles: A collection of source code files.
getSourceFilesOrBuilderList() - 接口中的方法org.tensorflow.framework.DebuggedSourceFilesOrBuilder: A collection of source code files.
getSourceRank() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder: int32 source_rank = 2;
getSourceRank() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse: int32 source_rank = 2;
getSourceRank() - 接口中的方法org.tensorflow.distruntime.CompleteInstanceResponseOrBuilder: int32 source_rank = 2;
getSpecific() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific specific = 102;
getSpecific() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific specific = 102;
getSpecific() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicyOrBuilder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific specific = 102;
getSpecificBuilder() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific specific = 102;
getSpecificOrBuilder() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific specific = 102;
getSpecificOrBuilder() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific specific = 102;
getSpecificOrBuilder() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicyOrBuilder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific specific = 102;
getSrcDevice() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional, for annotating the timeline.
getSrcDevice() - 类中的方法org.tensorflow.distruntime.RecvBufRequest: Optional, for annotating the timeline.
getSrcDevice() - 接口中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder: Optional, for annotating the timeline.
getSrcDeviceBytes() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional, for annotating the timeline.
getSrcDeviceBytes() - 类中的方法org.tensorflow.distruntime.RecvBufRequest: Optional, for annotating the timeline.
getSrcDeviceBytes() - 接口中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder: Optional, for annotating the timeline.
getStart() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder: Start index of the slice, starting at 0.
getStart() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent: Start index of the slice, starting at 0.
getStart() - 接口中的方法org.tensorflow.framework.TensorSliceProto.ExtentOrBuilder: Start index of the slice, starting at 0.
getState() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder: Model state.
getState() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus: Model state.
getState() - 接口中的方法tensorflow.serving.GetModelStatus.ModelVersionStatusOrBuilder: Model state.
getStateValue() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder: Model state.
getStateValue() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus: Model state.
getStateValue() - 接口中的方法tensorflow.serving.GetModelStatus.ModelVersionStatusOrBuilder: Model state.
getStatus(GetStatusRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceBlockingStub: See worker.proto for details.
getStatus(GetStatusRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceFutureStub: See worker.proto for details.
getStatus(GetStatusRequest, StreamObserver<GetStatusResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceImplBase: See worker.proto for details.
getStatus(GetStatusRequest, StreamObserver<GetStatusResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceStub: See worker.proto for details.
getStatus() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder: Model status.
getStatus() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus: Model status.
getStatus() - 接口中的方法tensorflow.serving.GetModelStatus.ModelVersionStatusOrBuilder: Model status.
getStatus() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder: .tensorflow.serving.StatusProto status = 1;
getStatus() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse: .tensorflow.serving.StatusProto status = 1;
getStatus() - 接口中的方法tensorflow.serving.ModelManagement.ReloadConfigResponseOrBuilder: .tensorflow.serving.StatusProto status = 1;
getStatusBuilder() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder: Model status.
getStatusBuilder() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder: .tensorflow.serving.StatusProto status = 1;
getStatusCode() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.
getStatusCode() - 类中的方法org.tensorflow.distruntime.RunGraphResponse: If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.
getStatusCode() - 接口中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder: If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.
getStatusCode() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.
getStatusCode() - 类中的方法org.tensorflow.distruntime.RunStepResponse: If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.
getStatusCode() - 接口中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder: If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.
getStatusCodeValue() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.
getStatusCodeValue() - 类中的方法org.tensorflow.distruntime.RunGraphResponse: If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.
getStatusCodeValue() - 接口中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder: If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.
getStatusCodeValue() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.
getStatusCodeValue() - 类中的方法org.tensorflow.distruntime.RunStepResponse: If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.
getStatusCodeValue() - 接口中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder: If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.
getStatusErrorMessage() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: string status_error_message = 6;
getStatusErrorMessage() - 类中的方法org.tensorflow.distruntime.RunGraphResponse: string status_error_message = 6;
getStatusErrorMessage() - 接口中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder: string status_error_message = 6;
getStatusErrorMessage() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: string status_error_message = 4;
getStatusErrorMessage() - 类中的方法org.tensorflow.distruntime.RunStepResponse: string status_error_message = 4;
getStatusErrorMessage() - 接口中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder: string status_error_message = 4;
getStatusErrorMessageBytes() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: string status_error_message = 6;
getStatusErrorMessageBytes() - 类中的方法org.tensorflow.distruntime.RunGraphResponse: string status_error_message = 6;
getStatusErrorMessageBytes() - 接口中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder: string status_error_message = 6;
getStatusErrorMessageBytes() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: string status_error_message = 4;
getStatusErrorMessageBytes() - 类中的方法org.tensorflow.distruntime.RunStepResponse: string status_error_message = 4;
getStatusErrorMessageBytes() - 接口中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder: string status_error_message = 4;
getStatusOrBuilder() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder: Model status.
getStatusOrBuilder() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus: Model status.
getStatusOrBuilder() - 接口中的方法tensorflow.serving.GetModelStatus.ModelVersionStatusOrBuilder: Model status.
getStatusOrBuilder() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder: .tensorflow.serving.StatusProto status = 1;
getStatusOrBuilder() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse: .tensorflow.serving.StatusProto status = 1;
getStatusOrBuilder() - 接口中的方法tensorflow.serving.ModelManagement.ReloadConfigResponseOrBuilder: .tensorflow.serving.StatusProto status = 1;
GetStatusRequest - org.tensorflow.distruntime中的类: Protobuf type tensorflow.GetStatusRequest
GetStatusRequest.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.GetStatusRequest
GetStatusRequestOrBuilder - org.tensorflow.distruntime中的接口
GetStatusResponse - org.tensorflow.distruntime中的类: Protobuf type tensorflow.GetStatusResponse
GetStatusResponse.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.GetStatusResponse
GetStatusResponseOrBuilder - org.tensorflow.distruntime中的接口
getStep(int) - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder: repeated .tensorflow.LabeledStepStats step = 1;
getStep(int) - 类中的方法org.tensorflow.distruntime.LoggingResponse: repeated .tensorflow.LabeledStepStats step = 1;
getStep(int) - 接口中的方法org.tensorflow.distruntime.LoggingResponseOrBuilder: repeated .tensorflow.LabeledStepStats step = 1;
getStepBuilder(int) - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder: repeated .tensorflow.LabeledStepStats step = 1;
getStepBuilderList() - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder: repeated .tensorflow.LabeledStepStats step = 1;
getStepCount() - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder: repeated .tensorflow.LabeledStepStats step = 1;
getStepCount() - 类中的方法org.tensorflow.distruntime.LoggingResponse: repeated .tensorflow.LabeledStepStats step = 1;
getStepCount() - 接口中的方法org.tensorflow.distruntime.LoggingResponseOrBuilder: repeated .tensorflow.LabeledStepStats step = 1;
getStepId() - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder: int64 step_id = 1;
getStepId() - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest: int64 step_id = 1;
getStepId() - 接口中的方法org.tensorflow.distruntime.CleanupGraphRequestOrBuilder: int64 step_id = 1;
getStepId() - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder: int64 step_id = 1;
getStepId() - 类中的方法org.tensorflow.distruntime.LabeledStepStats: int64 step_id = 1;
getStepId() - 接口中的方法org.tensorflow.distruntime.LabeledStepStatsOrBuilder: int64 step_id = 1;
getStepId() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Used at server side to find the correct BufRendezvous.
getStepId() - 类中的方法org.tensorflow.distruntime.RecvBufRequest: Used at server side to find the correct BufRendezvous.
getStepId() - 接口中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder: Used at server side to find the correct BufRendezvous.
getStepId() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: The step in which the tensor will be produced.
getStepId() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest: The step in which the tensor will be produced.
getStepId() - 接口中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder: The step in which the tensor will be produced.
getStepId() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: A unique ID to distinguish different runs of the same graph.
getStepId() - 类中的方法org.tensorflow.distruntime.RunGraphRequest: A unique ID to distinguish different runs of the same graph.
getStepId() - 接口中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder: A unique ID to distinguish different runs of the same graph.
getStepId() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder: Process-unique step id.
getStepId() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation: Process-unique step id.
getStepId() - 接口中的方法org.tensorflow.framework.MemoryLogRawAllocationOrBuilder: Process-unique step id.
getStepId() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder: Process-unique step id.
getStepId() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation: Process-unique step id.
getStepId() - 接口中的方法org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder: Process-unique step id.
getStepId() - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder: Process-unique step id.
getStepId() - 类中的方法org.tensorflow.framework.MemoryLogStep: Process-unique step id.
getStepId() - 接口中的方法org.tensorflow.framework.MemoryLogStepOrBuilder: Process-unique step id.
getStepId() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder: Process-unique step id.
getStepId() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation: Process-unique step id.
getStepId() - 接口中的方法org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder: Process-unique step id.
getStepId() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder: Process-unique step id.
getStepId() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput: Process-unique step id.
getStepId() - 接口中的方法org.tensorflow.framework.MemoryLogTensorOutputOrBuilder: Process-unique step id.
getStepList() - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder: repeated .tensorflow.LabeledStepStats step = 1;
getStepList() - 类中的方法org.tensorflow.distruntime.LoggingResponse: repeated .tensorflow.LabeledStepStats step = 1;
getStepList() - 接口中的方法org.tensorflow.distruntime.LoggingResponseOrBuilder: repeated .tensorflow.LabeledStepStats step = 1;
getStepOrBuilder(int) - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder: repeated .tensorflow.LabeledStepStats step = 1;
getStepOrBuilder(int) - 类中的方法org.tensorflow.distruntime.LoggingResponse: repeated .tensorflow.LabeledStepStats step = 1;
getStepOrBuilder(int) - 接口中的方法org.tensorflow.distruntime.LoggingResponseOrBuilder: repeated .tensorflow.LabeledStepStats step = 1;
getStepOrBuilderList() - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder: repeated .tensorflow.LabeledStepStats step = 1;
getStepOrBuilderList() - 类中的方法org.tensorflow.distruntime.LoggingResponse: repeated .tensorflow.LabeledStepStats step = 1;
getStepOrBuilderList() - 接口中的方法org.tensorflow.distruntime.LoggingResponseOrBuilder: repeated .tensorflow.LabeledStepStats step = 1;
getStepSequence(int) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder: repeated .tensorflow.StepSequence step_sequence = 1;
getStepSequence(int) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse: repeated .tensorflow.StepSequence step_sequence = 1;
getStepSequence(int) - 接口中的方法org.tensorflow.distruntime.GetStepSequenceResponseOrBuilder: repeated .tensorflow.StepSequence step_sequence = 1;
getStepSequence(GetStepSequenceRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceBlockingStub: See worker.proto for details.
getStepSequence(GetStepSequenceRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceFutureStub: See worker.proto for details.
getStepSequence(GetStepSequenceRequest, StreamObserver<GetStepSequenceResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceImplBase: See worker.proto for details.
getStepSequence(GetStepSequenceRequest, StreamObserver<GetStepSequenceResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceStub: See worker.proto for details.
getStepSequenceBuilder(int) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder: repeated .tensorflow.StepSequence step_sequence = 1;
getStepSequenceBuilderList() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder: repeated .tensorflow.StepSequence step_sequence = 1;
getStepSequenceCount() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder: repeated .tensorflow.StepSequence step_sequence = 1;
getStepSequenceCount() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse: repeated .tensorflow.StepSequence step_sequence = 1;
getStepSequenceCount() - 接口中的方法org.tensorflow.distruntime.GetStepSequenceResponseOrBuilder: repeated .tensorflow.StepSequence step_sequence = 1;
getStepSequenceList() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder: repeated .tensorflow.StepSequence step_sequence = 1;
getStepSequenceList() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse: repeated .tensorflow.StepSequence step_sequence = 1;
getStepSequenceList() - 接口中的方法org.tensorflow.distruntime.GetStepSequenceResponseOrBuilder: repeated .tensorflow.StepSequence step_sequence = 1;
getStepSequenceOrBuilder(int) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder: repeated .tensorflow.StepSequence step_sequence = 1;
getStepSequenceOrBuilder(int) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse: repeated .tensorflow.StepSequence step_sequence = 1;
getStepSequenceOrBuilder(int) - 接口中的方法org.tensorflow.distruntime.GetStepSequenceResponseOrBuilder: repeated .tensorflow.StepSequence step_sequence = 1;
getStepSequenceOrBuilderList() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder: repeated .tensorflow.StepSequence step_sequence = 1;
getStepSequenceOrBuilderList() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse: repeated .tensorflow.StepSequence step_sequence = 1;
getStepSequenceOrBuilderList() - 接口中的方法org.tensorflow.distruntime.GetStepSequenceResponseOrBuilder: repeated .tensorflow.StepSequence step_sequence = 1;
GetStepSequenceRequest - org.tensorflow.distruntime中的类: Request for next agreed-upon step_id for the specified graph_keys.
GetStepSequenceRequest.Builder - org.tensorflow.distruntime中的类: Request for next agreed-upon step_id for the specified graph_keys.
GetStepSequenceRequestOrBuilder - org.tensorflow.distruntime中的接口
GetStepSequenceResponse - org.tensorflow.distruntime中的类: Next valid step_ids for one or more graph_keys.
GetStepSequenceResponse.Builder - org.tensorflow.distruntime中的类: Next valid step_ids for one or more graph_keys.
GetStepSequenceResponseOrBuilder - org.tensorflow.distruntime中的接口
getStepStats() - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder: .tensorflow.StepStats step_stats = 2;
getStepStats() - 类中的方法org.tensorflow.distruntime.LabeledStepStats: .tensorflow.StepStats step_stats = 2;
getStepStats() - 接口中的方法org.tensorflow.distruntime.LabeledStepStatsOrBuilder: .tensorflow.StepStats step_stats = 2;
getStepStats() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.
getStepStats() - 类中的方法org.tensorflow.distruntime.RunGraphResponse: If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.
getStepStats() - 接口中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder: If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.
getStepStats() - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Statistics traced for this step.
getStepStats() - 类中的方法org.tensorflow.framework.RunMetadata: Statistics traced for this step.
getStepStats() - 接口中的方法org.tensorflow.framework.RunMetadataOrBuilder: Statistics traced for this step.
getStepStatsBuilder() - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder: .tensorflow.StepStats step_stats = 2;
getStepStatsBuilder() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.
getStepStatsBuilder() - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Statistics traced for this step.
getStepStatsOrBuilder() - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder: .tensorflow.StepStats step_stats = 2;
getStepStatsOrBuilder() - 类中的方法org.tensorflow.distruntime.LabeledStepStats: .tensorflow.StepStats step_stats = 2;
getStepStatsOrBuilder() - 接口中的方法org.tensorflow.distruntime.LabeledStepStatsOrBuilder: .tensorflow.StepStats step_stats = 2;
getStepStatsOrBuilder() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.
getStepStatsOrBuilder() - 类中的方法org.tensorflow.distruntime.RunGraphResponse: If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.
getStepStatsOrBuilder() - 接口中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder: If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.
getStepStatsOrBuilder() - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Statistics traced for this step.
getStepStatsOrBuilder() - 类中的方法org.tensorflow.framework.RunMetadata: Statistics traced for this step.
getStepStatsOrBuilder() - 接口中的方法org.tensorflow.framework.RunMetadataOrBuilder: Statistics traced for this step.
getStoreErrorsInResponseBody() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: If true then some errors, e.g., execution errors that have long error messages, may return an OK RunGraphResponse with the actual error saved in the status_code/status_error_message fields of the response body.
getStoreErrorsInResponseBody() - 类中的方法org.tensorflow.distruntime.RunGraphRequest: If true then some errors, e.g., execution errors that have long error messages, may return an OK RunGraphResponse with the actual error saved in the status_code/status_error_message fields of the response body.
getStoreErrorsInResponseBody() - 接口中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder: If true then some errors, e.g., execution errors that have long error messages, may return an OK RunGraphResponse with the actual error saved in the status_code/status_error_message fields of the response body.
getStoreErrorsInResponseBody() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: If true then some errors, e.g., execution errors that have long error messages, may return an OK RunStepResponse with the actual error saved in the status_code/status_error_message fields of the response body.
getStoreErrorsInResponseBody() - 类中的方法org.tensorflow.distruntime.RunStepRequest: If true then some errors, e.g., execution errors that have long error messages, may return an OK RunStepResponse with the actual error saved in the status_code/status_error_message fields of the response body.
getStoreErrorsInResponseBody() - 接口中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder: If true then some errors, e.g., execution errors that have long error messages, may return an OK RunStepResponse with the actual error saved in the status_code/status_error_message fields of the response body.
getStrength() - 类中的方法org.tensorflow.framework.InterconnectLink.Builder: int32 strength = 3;
getStrength() - 类中的方法org.tensorflow.framework.InterconnectLink: int32 strength = 3;
getStrength() - 接口中的方法org.tensorflow.framework.InterconnectLinkOrBuilder: int32 strength = 3;
getStringVal(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_STRING repeated bytes string_val = 8;
getStringVal(int) - 类中的方法org.tensorflow.framework.TensorProto: DT_STRING repeated bytes string_val = 8;
getStringVal(int) - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_STRING repeated bytes string_val = 8;
getStringValCount() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_STRING repeated bytes string_val = 8;
getStringValCount() - 类中的方法org.tensorflow.framework.TensorProto: DT_STRING repeated bytes string_val = 8;
getStringValCount() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_STRING repeated bytes string_val = 8;
getStringValList() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_STRING repeated bytes string_val = 8;
getStringValList() - 类中的方法org.tensorflow.framework.TensorProto: DT_STRING repeated bytes string_val = 8;
getStringValList() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_STRING repeated bytes string_val = 8;
getStrippedDefaultAttrs() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: A flag to denote whether default-valued attrs have been stripped from the nodes in this graph_def.
getStrippedDefaultAttrs() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef: A flag to denote whether default-valued attrs have been stripped from the nodes in this graph_def.
getStrippedDefaultAttrs() - 接口中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder: A flag to denote whether default-valued attrs have been stripped from the nodes in this graph_def.
getStrippedOpList() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
getStrippedOpList() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef: A copy of the OpDefs used by the producer of this graph_def.
getStrippedOpList() - 接口中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder: A copy of the OpDefs used by the producer of this graph_def.
getStrippedOpListBuilder() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
getStrippedOpListOrBuilder() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
getStrippedOpListOrBuilder() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef: A copy of the OpDefs used by the producer of this graph_def.
getStrippedOpListOrBuilder() - 接口中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder: A copy of the OpDefs used by the producer of this graph_def.
getSubdivOffset(int) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: repeated int32 subdiv_offset = 9;
getSubdivOffset(int) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest: repeated int32 subdiv_offset = 9;
getSubdivOffset(int) - 接口中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder: repeated int32 subdiv_offset = 9;
getSubdivOffsetCount() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: repeated int32 subdiv_offset = 9;
getSubdivOffsetCount() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest: repeated int32 subdiv_offset = 9;
getSubdivOffsetCount() - 接口中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder: repeated int32 subdiv_offset = 9;
getSubdivOffsetList() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: repeated int32 subdiv_offset = 9;
getSubdivOffsetList() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest: repeated int32 subdiv_offset = 9;
getSubdivOffsetList() - 接口中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder: repeated int32 subdiv_offset = 9;
getSum() - 类中的方法org.tensorflow.framework.HistogramProto.Builder: double sum = 4;
getSum() - 类中的方法org.tensorflow.framework.HistogramProto: double sum = 4;
getSum() - 接口中的方法org.tensorflow.framework.HistogramProtoOrBuilder: double sum = 4;
getSummary() - 类中的方法org.tensorflow.framework.ApiDef.Builder: One-line human-readable description of what the Op does.
getSummary() - 类中的方法org.tensorflow.framework.ApiDef: One-line human-readable description of what the Op does.
getSummary() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: One-line human-readable description of what the Op does.
getSummary() - 类中的方法org.tensorflow.framework.OpDef.Builder: One-line human-readable description of what the Op does.
getSummary() - 类中的方法org.tensorflow.framework.OpDef: One-line human-readable description of what the Op does.
getSummary() - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: One-line human-readable description of what the Op does.
getSummaryBytes() - 类中的方法org.tensorflow.framework.ApiDef.Builder: One-line human-readable description of what the Op does.
getSummaryBytes() - 类中的方法org.tensorflow.framework.ApiDef: One-line human-readable description of what the Op does.
getSummaryBytes() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: One-line human-readable description of what the Op does.
getSummaryBytes() - 类中的方法org.tensorflow.framework.OpDef.Builder: One-line human-readable description of what the Op does.
getSummaryBytes() - 类中的方法org.tensorflow.framework.OpDef: One-line human-readable description of what the Op does.
getSummaryBytes() - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: One-line human-readable description of what the Op does.
getSummaryDescription() - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder: Longform readable description of the summary sequence.
getSummaryDescription() - 类中的方法org.tensorflow.framework.SummaryMetadata: Longform readable description of the summary sequence.
getSummaryDescription() - 接口中的方法org.tensorflow.framework.SummaryMetadataOrBuilder: Longform readable description of the summary sequence.
getSummaryDescriptionBytes() - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder: Longform readable description of the summary sequence.
getSummaryDescriptionBytes() - 类中的方法org.tensorflow.framework.SummaryMetadata: Longform readable description of the summary sequence.
getSummaryDescriptionBytes() - 接口中的方法org.tensorflow.framework.SummaryMetadataOrBuilder: Longform readable description of the summary sequence.
getSumSquares() - 类中的方法org.tensorflow.framework.HistogramProto.Builder: double sum_squares = 5;
getSumSquares() - 类中的方法org.tensorflow.framework.HistogramProto: double sum_squares = 5;
getSumSquares() - 接口中的方法org.tensorflow.framework.HistogramProtoOrBuilder: double sum_squares = 5;
getSwapMemory() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Whether GPU-CPU memory swap is enabled for this loop.
getSwapMemory() - 类中的方法org.tensorflow.framework.WhileContextDef: Whether GPU-CPU memory swap is enabled for this loop.
getSwapMemory() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: Whether GPU-CPU memory swap is enabled for this loop.
getTag() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: Tag name for the data.
getTag() - 类中的方法org.tensorflow.framework.Summary.Value: Tag name for the data.
getTag() - 接口中的方法org.tensorflow.framework.Summary.ValueOrBuilder: Tag name for the data.
getTagBytes() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: Tag name for the data.
getTagBytes() - 类中的方法org.tensorflow.framework.Summary.Value: Tag name for the data.
getTagBytes() - 接口中的方法org.tensorflow.framework.Summary.ValueOrBuilder: Tag name for the data.
getTags(int) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
getTags(int) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef: User supplied tag(s) on the meta_graph and included graph_def.
getTags(int) - 接口中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder: User supplied tag(s) on the meta_graph and included graph_def.
getTagsBytes(int) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
getTagsBytes(int) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef: User supplied tag(s) on the meta_graph and included graph_def.
getTagsBytes(int) - 接口中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder: User supplied tag(s) on the meta_graph and included graph_def.
getTagsCount() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
getTagsCount() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef: User supplied tag(s) on the meta_graph and included graph_def.
getTagsCount() - 接口中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder: User supplied tag(s) on the meta_graph and included graph_def.
getTagsList() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
getTagsList() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef: User supplied tag(s) on the meta_graph and included graph_def.
getTagsList() - 接口中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder: User supplied tag(s) on the meta_graph and included graph_def.
getTarget() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder: The target string used from the client's perspective.
getTarget() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest: The target string used from the client's perspective.
getTarget() - 接口中的方法org.tensorflow.distruntime.CreateSessionRequestOrBuilder: The target string used from the client's perspective.
getTarget(int) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Target Nodes.
getTarget(int) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest: Target Nodes.
getTarget(int) - 接口中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder: Target Nodes.
getTarget(int) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Target Nodes.
getTarget(int) - 类中的方法org.tensorflow.distruntime.RunStepRequest: Target Nodes.
getTarget(int) - 接口中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder: Target Nodes.
getTarget(int) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Target Nodes.
getTarget(int) - 类中的方法org.tensorflow.framework.CallableOptions: Target Nodes.
getTarget(int) - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: Target Nodes.
getTarget(int) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Target Nodes.
getTarget(int) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest: Target Nodes.
getTarget(int) - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder: Target Nodes.
getTargetBytes() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder: The target string used from the client's perspective.
getTargetBytes() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest: The target string used from the client's perspective.
getTargetBytes() - 接口中的方法org.tensorflow.distruntime.CreateSessionRequestOrBuilder: The target string used from the client's perspective.
getTargetBytes(int) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Target Nodes.
getTargetBytes(int) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest: Target Nodes.
getTargetBytes(int) - 接口中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder: Target Nodes.
getTargetBytes(int) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Target Nodes.
getTargetBytes(int) - 类中的方法org.tensorflow.distruntime.RunStepRequest: Target Nodes.
getTargetBytes(int) - 接口中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder: Target Nodes.
getTargetBytes(int) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Target Nodes.
getTargetBytes(int) - 类中的方法org.tensorflow.framework.CallableOptions: Target Nodes.
getTargetBytes(int) - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: Target Nodes.
getTargetBytes(int) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Target Nodes.
getTargetBytes(int) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest: Target Nodes.
getTargetBytes(int) - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder: Target Nodes.
getTargetCount() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Target Nodes.
getTargetCount() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest: Target Nodes.
getTargetCount() - 接口中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder: Target Nodes.
getTargetCount() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Target Nodes.
getTargetCount() - 类中的方法org.tensorflow.distruntime.RunStepRequest: Target Nodes.
getTargetCount() - 接口中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder: Target Nodes.
getTargetCount() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Target Nodes.
getTargetCount() - 类中的方法org.tensorflow.framework.CallableOptions: Target Nodes.
getTargetCount() - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: Target Nodes.
getTargetCount() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Target Nodes.
getTargetCount() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest: Target Nodes.
getTargetCount() - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder: Target Nodes.
getTargetList() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Target Nodes.
getTargetList() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest: Target Nodes.
getTargetList() - 接口中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder: Target Nodes.
getTargetList() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Target Nodes.
getTargetList() - 类中的方法org.tensorflow.distruntime.RunStepRequest: Target Nodes.
getTargetList() - 接口中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder: Target Nodes.
getTargetList() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Target Nodes.
getTargetList() - 类中的方法org.tensorflow.framework.CallableOptions: Target Nodes.
getTargetList() - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: Target Nodes.
getTargetList() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Target Nodes.
getTargetList() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest: Target Nodes.
getTargetList() - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder: Target Nodes.
getTaskIndex() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The task index of this server in its job.
getTaskIndex() - 类中的方法org.tensorflow.distruntime.ServerDef: The task index of this server in its job.
getTaskIndex() - 接口中的方法org.tensorflow.distruntime.ServerDefOrBuilder: The task index of this server in its job.
getTaskName(int) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: task name prefixes of device_names repeated string task_name = 6;
getTaskName(int) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse: task name prefixes of device_names repeated string task_name = 6;
getTaskName(int) - 接口中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder: task name prefixes of device_names repeated string task_name = 6;
getTaskNameBytes(int) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: task name prefixes of device_names repeated string task_name = 6;
getTaskNameBytes(int) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse: task name prefixes of device_names repeated string task_name = 6;
getTaskNameBytes(int) - 接口中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder: task name prefixes of device_names repeated string task_name = 6;
getTaskNameCount() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: task name prefixes of device_names repeated string task_name = 6;
getTaskNameCount() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse: task name prefixes of device_names repeated string task_name = 6;
getTaskNameCount() - 接口中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder: task name prefixes of device_names repeated string task_name = 6;
getTaskNameList() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: task name prefixes of device_names repeated string task_name = 6;
getTaskNameList() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse: task name prefixes of device_names repeated string task_name = 6;
getTaskNameList() - 接口中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder: task name prefixes of device_names repeated string task_name = 6;
getTasks() - 类中的方法org.tensorflow.distruntime.JobDef.Builder: 已过时。
getTasks() - 类中的方法org.tensorflow.distruntime.JobDef: 已过时。
getTasks() - 接口中的方法org.tensorflow.distruntime.JobDefOrBuilder: 已过时。
getTasks(int) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Inference tasks.
getTasks(int) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest: Inference tasks.
getTasks(int) - 接口中的方法tensorflow.serving.Inference.MultiInferenceRequestOrBuilder: Inference tasks.
getTasksBuilder(int) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Inference tasks.
getTasksBuilderList() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Inference tasks.
getTasksCount() - 类中的方法org.tensorflow.distruntime.JobDef.Builder
getTasksCount() - 类中的方法org.tensorflow.distruntime.JobDef
getTasksCount() - 接口中的方法org.tensorflow.distruntime.JobDefOrBuilder: Mapping from task ID to "hostname:port" string.
getTasksCount() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Inference tasks.
getTasksCount() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest: Inference tasks.
getTasksCount() - 接口中的方法tensorflow.serving.Inference.MultiInferenceRequestOrBuilder: Inference tasks.
getTasksList() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Inference tasks.
getTasksList() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest: Inference tasks.
getTasksList() - 接口中的方法tensorflow.serving.Inference.MultiInferenceRequestOrBuilder: Inference tasks.
getTasksMap() - 类中的方法org.tensorflow.distruntime.JobDef.Builder: Mapping from task ID to "hostname:port" string.
getTasksMap() - 类中的方法org.tensorflow.distruntime.JobDef: Mapping from task ID to "hostname:port" string.
getTasksMap() - 接口中的方法org.tensorflow.distruntime.JobDefOrBuilder: Mapping from task ID to "hostname:port" string.
getTasksOrBuilder(int) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Inference tasks.
getTasksOrBuilder(int) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest: Inference tasks.
getTasksOrBuilder(int) - 接口中的方法tensorflow.serving.Inference.MultiInferenceRequestOrBuilder: Inference tasks.
getTasksOrBuilderList() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Inference tasks.
getTasksOrBuilderList() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest: Inference tasks.
getTasksOrBuilderList() - 接口中的方法tensorflow.serving.Inference.MultiInferenceRequestOrBuilder: Inference tasks.
getTasksOrDefault(int, String) - 类中的方法org.tensorflow.distruntime.JobDef.Builder: Mapping from task ID to "hostname:port" string.
getTasksOrDefault(int, String) - 类中的方法org.tensorflow.distruntime.JobDef: Mapping from task ID to "hostname:port" string.
getTasksOrDefault(int, String) - 接口中的方法org.tensorflow.distruntime.JobDefOrBuilder: Mapping from task ID to "hostname:port" string.
getTasksOrThrow(int) - 类中的方法org.tensorflow.distruntime.JobDef.Builder: Mapping from task ID to "hostname:port" string.
getTasksOrThrow(int) - 类中的方法org.tensorflow.distruntime.JobDef: Mapping from task ID to "hostname:port" string.
getTasksOrThrow(int) - 接口中的方法org.tensorflow.distruntime.JobDefOrBuilder: Mapping from task ID to "hostname:port" string.
getTempMemorySize() - 类中的方法org.tensorflow.framework.MemoryStats.Builder: int64 temp_memory_size = 1;
getTempMemorySize() - 类中的方法org.tensorflow.framework.MemoryStats: int64 temp_memory_size = 1;
getTempMemorySize() - 接口中的方法org.tensorflow.framework.MemoryStatsOrBuilder: int64 temp_memory_size = 1;
getTemporaryMemorySize() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Temporary memory used by this node.
getTemporaryMemorySize() - 类中的方法org.tensorflow.framework.CostGraphDef.Node: Temporary memory used by this node.
getTemporaryMemorySize() - 接口中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder: Temporary memory used by this node.
getTensor() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder: The tensor as a proto.
getTensor() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse: The tensor as a proto.
getTensor() - 接口中的方法org.tensorflow.distruntime.RecvTensorResponseOrBuilder: The tensor as a proto.
getTensor(int) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
getTensor(int) - 类中的方法org.tensorflow.distruntime.RunStepResponse: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
getTensor(int) - 接口中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
getTensor() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "tensor" .tensorflow.TensorProto tensor = 8;
getTensor() - 类中的方法org.tensorflow.framework.AttrValue: "tensor" .tensorflow.TensorProto tensor = 8;
getTensor(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
getTensor(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
getTensor(int) - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
getTensor() - 接口中的方法org.tensorflow.framework.AttrValueOrBuilder: "tensor" .tensorflow.TensorProto tensor = 8;
getTensor() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder: Allocated tensor details.
getTensor() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation: Allocated tensor details.
getTensor() - 接口中的方法org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder: Allocated tensor details.
getTensor() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder: Output tensor details.
getTensor() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput: Output tensor details.
getTensor() - 接口中的方法org.tensorflow.framework.MemoryLogTensorOutputOrBuilder: Output tensor details.
getTensor() - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
getTensor() - 类中的方法org.tensorflow.framework.NamedTensorProto: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
getTensor() - 接口中的方法org.tensorflow.framework.NamedTensorProtoOrBuilder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
getTensor() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
getTensor() - 类中的方法org.tensorflow.framework.Summary.Value: .tensorflow.TensorProto tensor = 8;
getTensor() - 接口中的方法org.tensorflow.framework.Summary.ValueOrBuilder: .tensorflow.TensorProto tensor = 8;
getTensor(int) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
getTensor(int) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
getTensor(int) - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponseOrBuilder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
getTensorBuilder() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder: The tensor as a proto.
getTensorBuilder(int) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
getTensorBuilder() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "tensor" .tensorflow.TensorProto tensor = 8;
getTensorBuilder(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
getTensorBuilder() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder: Allocated tensor details.
getTensorBuilder() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder: Output tensor details.
getTensorBuilder() - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
getTensorBuilder() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
getTensorBuilder(int) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
getTensorBuilderList() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
getTensorBuilderList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
getTensorBuilderList() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
getTensorConnection(int) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be connected in the callable.
getTensorConnection(int) - 类中的方法org.tensorflow.framework.CallableOptions: Tensors to be connected in the callable.
getTensorConnection(int) - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: Tensors to be connected in the callable.
getTensorConnectionBuilder(int) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be connected in the callable.
getTensorConnectionBuilderList() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be connected in the callable.
getTensorConnectionCount() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be connected in the callable.
getTensorConnectionCount() - 类中的方法org.tensorflow.framework.CallableOptions: Tensors to be connected in the callable.
getTensorConnectionCount() - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: Tensors to be connected in the callable.
getTensorConnectionList() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be connected in the callable.
getTensorConnectionList() - 类中的方法org.tensorflow.framework.CallableOptions: Tensors to be connected in the callable.
getTensorConnectionList() - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: Tensors to be connected in the callable.
getTensorConnectionOrBuilder(int) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be connected in the callable.
getTensorConnectionOrBuilder(int) - 类中的方法org.tensorflow.framework.CallableOptions: Tensors to be connected in the callable.
getTensorConnectionOrBuilder(int) - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: Tensors to be connected in the callable.
getTensorConnectionOrBuilderList() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be connected in the callable.
getTensorConnectionOrBuilderList() - 类中的方法org.tensorflow.framework.CallableOptions: Tensors to be connected in the callable.
getTensorConnectionOrBuilderList() - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: Tensors to be connected in the callable.
getTensorContent() - 类中的方法org.tensorflow.framework.TensorProto.Builder: Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
getTensorContent() - 类中的方法org.tensorflow.framework.TensorProto: Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
getTensorContent() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
getTensorContent() - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder: bytes tensor_content = 1;
getTensorContent() - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra: bytes tensor_content = 1;
getTensorContent() - 接口中的方法tensorflow.TransportOptions.RecvBufRespExtraOrBuilder: bytes tensor_content = 1;
getTensorCount() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
getTensorCount() - 类中的方法org.tensorflow.distruntime.RunStepResponse: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
getTensorCount() - 接口中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
getTensorCount() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
getTensorCount() - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
getTensorCount() - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
getTensorCount() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
getTensorCount() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
getTensorCount() - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponseOrBuilder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
getTensorDescription() - 类中的方法org.tensorflow.framework.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
getTensorDescription() - 类中的方法org.tensorflow.framework.NodeOutput: .tensorflow.TensorDescription tensor_description = 3;
getTensorDescription() - 接口中的方法org.tensorflow.framework.NodeOutputOrBuilder: .tensorflow.TensorDescription tensor_description = 3;
getTensorDescriptionBuilder() - 类中的方法org.tensorflow.framework.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
getTensorDescriptionOrBuilder() - 类中的方法org.tensorflow.framework.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
getTensorDescriptionOrBuilder() - 类中的方法org.tensorflow.framework.NodeOutput: .tensorflow.TensorDescription tensor_description = 3;
getTensorDescriptionOrBuilder() - 接口中的方法org.tensorflow.framework.NodeOutputOrBuilder: .tensorflow.TensorDescription tensor_description = 3;
getTensorflowGitVersion() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: The __git_version__ string of the tensorflow build used to write this graph.
getTensorflowGitVersion() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef: The __git_version__ string of the tensorflow build used to write this graph.
getTensorflowGitVersion() - 接口中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder: The __git_version__ string of the tensorflow build used to write this graph.
getTensorflowGitVersionBytes() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: The __git_version__ string of the tensorflow build used to write this graph.
getTensorflowGitVersionBytes() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef: The __git_version__ string of the tensorflow build used to write this graph.
getTensorflowGitVersionBytes() - 接口中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder: The __git_version__ string of the tensorflow build used to write this graph.
getTensorflowVersion() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: The __version__ string of the tensorflow build used to write this graph.
getTensorflowVersion() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef: The __version__ string of the tensorflow build used to write this graph.
getTensorflowVersion() - 接口中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder: The __version__ string of the tensorflow build used to write this graph.
getTensorflowVersionBytes() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: The __version__ string of the tensorflow build used to write this graph.
getTensorflowVersionBytes() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef: The __version__ string of the tensorflow build used to write this graph.
getTensorflowVersionBytes() - 接口中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder: The __version__ string of the tensorflow build used to write this graph.
getTensorInfo() - 类中的方法org.tensorflow.framework.AssetFileDef.Builder: The tensor to bind the asset filename to.
getTensorInfo() - 类中的方法org.tensorflow.framework.AssetFileDef: The tensor to bind the asset filename to.
getTensorInfo() - 接口中的方法org.tensorflow.framework.AssetFileDefOrBuilder: The tensor to bind the asset filename to.
getTensorInfoBuilder() - 类中的方法org.tensorflow.framework.AssetFileDef.Builder: The tensor to bind the asset filename to.
getTensorInfoOrBuilder() - 类中的方法org.tensorflow.framework.AssetFileDef.Builder: The tensor to bind the asset filename to.
getTensorInfoOrBuilder() - 类中的方法org.tensorflow.framework.AssetFileDef: The tensor to bind the asset filename to.
getTensorInfoOrBuilder() - 接口中的方法org.tensorflow.framework.AssetFileDefOrBuilder: The tensor to bind the asset filename to.
getTensorList() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
getTensorList() - 类中的方法org.tensorflow.distruntime.RunStepResponse: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
getTensorList() - 接口中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
getTensorList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
getTensorList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
getTensorList() - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
getTensorList() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
getTensorList() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
getTensorList() - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponseOrBuilder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
getTensorOrBuilder() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder: The tensor as a proto.
getTensorOrBuilder() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse: The tensor as a proto.
getTensorOrBuilder() - 接口中的方法org.tensorflow.distruntime.RecvTensorResponseOrBuilder: The tensor as a proto.
getTensorOrBuilder(int) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
getTensorOrBuilder(int) - 类中的方法org.tensorflow.distruntime.RunStepResponse: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
getTensorOrBuilder(int) - 接口中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
getTensorOrBuilder() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "tensor" .tensorflow.TensorProto tensor = 8;
getTensorOrBuilder() - 类中的方法org.tensorflow.framework.AttrValue: "tensor" .tensorflow.TensorProto tensor = 8;
getTensorOrBuilder(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
getTensorOrBuilder(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
getTensorOrBuilder(int) - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
getTensorOrBuilder() - 接口中的方法org.tensorflow.framework.AttrValueOrBuilder: "tensor" .tensorflow.TensorProto tensor = 8;
getTensorOrBuilder() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder: Allocated tensor details.
getTensorOrBuilder() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation: Allocated tensor details.
getTensorOrBuilder() - 接口中的方法org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder: Allocated tensor details.
getTensorOrBuilder() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder: Output tensor details.
getTensorOrBuilder() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput: Output tensor details.
getTensorOrBuilder() - 接口中的方法org.tensorflow.framework.MemoryLogTensorOutputOrBuilder: Output tensor details.
getTensorOrBuilder() - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
getTensorOrBuilder() - 类中的方法org.tensorflow.framework.NamedTensorProto: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
getTensorOrBuilder() - 接口中的方法org.tensorflow.framework.NamedTensorProtoOrBuilder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
getTensorOrBuilder() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
getTensorOrBuilder() - 类中的方法org.tensorflow.framework.Summary.Value: .tensorflow.TensorProto tensor = 8;
getTensorOrBuilder() - 接口中的方法org.tensorflow.framework.Summary.ValueOrBuilder: .tensorflow.TensorProto tensor = 8;
getTensorOrBuilder(int) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
getTensorOrBuilder(int) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
getTensorOrBuilder(int) - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponseOrBuilder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
getTensorOrBuilderList() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
getTensorOrBuilderList() - 类中的方法org.tensorflow.distruntime.RunStepResponse: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
getTensorOrBuilderList() - 接口中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
getTensorOrBuilderList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
getTensorOrBuilderList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
getTensorOrBuilderList() - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
getTensorOrBuilderList() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
getTensorOrBuilderList() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
getTensorOrBuilderList() - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponseOrBuilder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
getTensors(int) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
getTensors(int) - 类中的方法org.tensorflow.framework.VariantTensorDataProto: Tensors contained within objects being serialized.
getTensors(int) - 接口中的方法org.tensorflow.framework.VariantTensorDataProtoOrBuilder: Tensors contained within objects being serialized.
getTensors(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
getTensors(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
getTensors(int) - 接口中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequestOrBuilder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
getTensorsBuilder(int) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
getTensorsBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
getTensorsBuilderList() - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
getTensorsBuilderList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
getTensorsCount() - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
getTensorsCount() - 类中的方法org.tensorflow.framework.VariantTensorDataProto: Tensors contained within objects being serialized.
getTensorsCount() - 接口中的方法org.tensorflow.framework.VariantTensorDataProtoOrBuilder: Tensors contained within objects being serialized.
getTensorsCount() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
getTensorsCount() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
getTensorsCount() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequestOrBuilder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
getTensorShape() - 类中的方法org.tensorflow.framework.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
getTensorShape() - 类中的方法org.tensorflow.framework.TensorInfo: The static shape should be recorded here, to the extent that it can be known in advance.
getTensorShape() - 接口中的方法org.tensorflow.framework.TensorInfoOrBuilder: The static shape should be recorded here, to the extent that it can be known in advance.
getTensorShape() - 类中的方法org.tensorflow.framework.TensorProto.Builder: Shape of the tensor.
getTensorShape() - 类中的方法org.tensorflow.framework.TensorProto: Shape of the tensor.
getTensorShape() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: Shape of the tensor.
getTensorShapeBuilder() - 类中的方法org.tensorflow.framework.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
getTensorShapeBuilder() - 类中的方法org.tensorflow.framework.TensorProto.Builder: Shape of the tensor.
getTensorShapeOrBuilder() - 类中的方法org.tensorflow.framework.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
getTensorShapeOrBuilder() - 类中的方法org.tensorflow.framework.TensorInfo: The static shape should be recorded here, to the extent that it can be known in advance.
getTensorShapeOrBuilder() - 接口中的方法org.tensorflow.framework.TensorInfoOrBuilder: The static shape should be recorded here, to the extent that it can be known in advance.
getTensorShapeOrBuilder() - 类中的方法org.tensorflow.framework.TensorProto.Builder: Shape of the tensor.
getTensorShapeOrBuilder() - 类中的方法org.tensorflow.framework.TensorProto: Shape of the tensor.
getTensorShapeOrBuilder() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: Shape of the tensor.
getTensorsList() - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
getTensorsList() - 类中的方法org.tensorflow.framework.VariantTensorDataProto: Tensors contained within objects being serialized.
getTensorsList() - 接口中的方法org.tensorflow.framework.VariantTensorDataProtoOrBuilder: Tensors contained within objects being serialized.
getTensorsList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
getTensorsList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
getTensorsList() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequestOrBuilder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
getTensorsOrBuilder(int) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
getTensorsOrBuilder(int) - 类中的方法org.tensorflow.framework.VariantTensorDataProto: Tensors contained within objects being serialized.
getTensorsOrBuilder(int) - 接口中的方法org.tensorflow.framework.VariantTensorDataProtoOrBuilder: Tensors contained within objects being serialized.
getTensorsOrBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
getTensorsOrBuilder(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
getTensorsOrBuilder(int) - 接口中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequestOrBuilder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
getTensorsOrBuilderList() - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
getTensorsOrBuilderList() - 类中的方法org.tensorflow.framework.VariantTensorDataProto: Tensors contained within objects being serialized.
getTensorsOrBuilderList() - 接口中的方法org.tensorflow.framework.VariantTensorDataProtoOrBuilder: Tensors contained within objects being serialized.
getTensorsOrBuilderList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
getTensorsOrBuilderList() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
getTensorsOrBuilderList() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequestOrBuilder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
getThreadId() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: uint32 thread_id = 10;
getThreadId() - 类中的方法org.tensorflow.framework.NodeExecStats: uint32 thread_id = 10;
getThreadId() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: uint32 thread_id = 10;
getTimelineLabel() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: string timeline_label = 8;
getTimelineLabel() - 类中的方法org.tensorflow.framework.NodeExecStats: string timeline_label = 8;
getTimelineLabel() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: string timeline_label = 8;
getTimelineLabelBytes() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: string timeline_label = 8;
getTimelineLabelBytes() - 类中的方法org.tensorflow.framework.NodeExecStats: string timeline_label = 8;
getTimelineLabelBytes() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: string timeline_label = 8;
getTimelineStep() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: If > 0, record a timeline every this many steps.
getTimelineStep() - 类中的方法org.tensorflow.framework.GraphOptions: If > 0, record a timeline every this many steps.
getTimelineStep() - 接口中的方法org.tensorflow.framework.GraphOptionsOrBuilder: If > 0, record a timeline every this many steps.
getTimeoutInMs() - 类中的方法org.tensorflow.framework.RunOptions.Builder: Time to wait for operation to complete in milliseconds.
getTimeoutInMs() - 类中的方法org.tensorflow.framework.RunOptions: Time to wait for operation to complete in milliseconds.
getTimeoutInMs() - 接口中的方法org.tensorflow.framework.RunOptionsOrBuilder: Time to wait for operation to complete in milliseconds.
getTolerateDebugOpCreationFailures() - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: Do not error out if debug op creation fails (e.g., due to dtype incompatibility).
getTolerateDebugOpCreationFailures() - 类中的方法org.tensorflow.framework.DebugTensorWatch: Do not error out if debug op creation fails (e.g., due to dtype incompatibility).
getTolerateDebugOpCreationFailures() - 接口中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder: Do not error out if debug op creation fails (e.g., due to dtype incompatibility).
getTotalBytes() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: These are per-node allocator memory stats.
getTotalBytes() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed: These are per-node allocator memory stats.
getTotalBytes() - 接口中的方法org.tensorflow.framework.AllocatorMemoryUsedOrBuilder: These are per-node allocator memory stats.
getToTensor() - 类中的方法org.tensorflow.framework.TensorConnection.Builder: A tensor name.
getToTensor() - 类中的方法org.tensorflow.framework.TensorConnection: A tensor name.
getToTensor() - 接口中的方法org.tensorflow.framework.TensorConnectionOrBuilder: A tensor name.
getToTensorBytes() - 类中的方法org.tensorflow.framework.TensorConnection.Builder: A tensor name.
getToTensorBytes() - 类中的方法org.tensorflow.framework.TensorConnection: A tensor name.
getToTensorBytes() - 接口中的方法org.tensorflow.framework.TensorConnectionOrBuilder: A tensor name.
getTraceLevel() - 类中的方法org.tensorflow.framework.RunOptions.Builder: .tensorflow.RunOptions.TraceLevel trace_level = 1;
getTraceLevel() - 类中的方法org.tensorflow.framework.RunOptions: .tensorflow.RunOptions.TraceLevel trace_level = 1;
getTraceLevel() - 接口中的方法org.tensorflow.framework.RunOptionsOrBuilder: .tensorflow.RunOptions.TraceLevel trace_level = 1;
getTraceLevelValue() - 类中的方法org.tensorflow.framework.RunOptions.Builder: .tensorflow.RunOptions.TraceLevel trace_level = 1;
getTraceLevelValue() - 类中的方法org.tensorflow.framework.RunOptions: .tensorflow.RunOptions.TraceLevel trace_level = 1;
getTraceLevelValue() - 接口中的方法org.tensorflow.framework.RunOptionsOrBuilder: .tensorflow.RunOptions.TraceLevel trace_level = 1;
getTracingMethod() - 类中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
getTrainable() - 类中的方法org.tensorflow.framework.VariableDef.Builder: Whether this variable should be trained.
getTrainable() - 类中的方法org.tensorflow.framework.VariableDef: Whether this variable should be trained.
getTrainable() - 接口中的方法org.tensorflow.framework.VariableDefOrBuilder: Whether this variable should be trained.
getTransportOptions() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional, implementation-specific data.
getTransportOptions() - 类中的方法org.tensorflow.distruntime.RecvBufRequest: Optional, implementation-specific data.
getTransportOptions() - 接口中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder: Optional, implementation-specific data.
getTransportOptions() - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder: Optional, implementation-specific data.
getTransportOptions() - 类中的方法org.tensorflow.distruntime.RecvBufResponse: Optional, implementation-specific data.
getTransportOptions() - 接口中的方法org.tensorflow.distruntime.RecvBufResponseOrBuilder: Optional, implementation-specific data.
getTransportOptions() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information needed by the RPC subsystem.
getTransportOptions() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest: Optional information needed by the RPC subsystem.
getTransportOptions() - 接口中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder: Optional information needed by the RPC subsystem.
getTransportOptions() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder: Optional additional information about how to receive the tensor, e.g. in the event that `RecvTensorRequest.dma_ok` was true.
getTransportOptions() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse: Optional additional information about how to receive the tensor, e.g. in the event that `RecvTensorRequest.dma_ok` was true.
getTransportOptions() - 接口中的方法org.tensorflow.distruntime.RecvTensorResponseOrBuilder: Optional additional information about how to receive the tensor, e.g. in the event that `RecvTensorRequest.dma_ok` was true.
getTransportOptionsBuilder() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional, implementation-specific data.
getTransportOptionsBuilder() - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder: Optional, implementation-specific data.
getTransportOptionsBuilder() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information needed by the RPC subsystem.
getTransportOptionsBuilder() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder: Optional additional information about how to receive the tensor, e.g. in the event that `RecvTensorRequest.dma_ok` was true.
getTransportOptionsOrBuilder() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional, implementation-specific data.
getTransportOptionsOrBuilder() - 类中的方法org.tensorflow.distruntime.RecvBufRequest: Optional, implementation-specific data.
getTransportOptionsOrBuilder() - 接口中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder: Optional, implementation-specific data.
getTransportOptionsOrBuilder() - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder: Optional, implementation-specific data.
getTransportOptionsOrBuilder() - 类中的方法org.tensorflow.distruntime.RecvBufResponse: Optional, implementation-specific data.
getTransportOptionsOrBuilder() - 接口中的方法org.tensorflow.distruntime.RecvBufResponseOrBuilder: Optional, implementation-specific data.
getTransportOptionsOrBuilder() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information needed by the RPC subsystem.
getTransportOptionsOrBuilder() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest: Optional information needed by the RPC subsystem.
getTransportOptionsOrBuilder() - 接口中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder: Optional information needed by the RPC subsystem.
getTransportOptionsOrBuilder() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder: Optional additional information about how to receive the tensor, e.g. in the event that `RecvTensorRequest.dma_ok` was true.
getTransportOptionsOrBuilder() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse: Optional additional information about how to receive the tensor, e.g. in the event that `RecvTensorRequest.dma_ok` was true.
getTransportOptionsOrBuilder() - 接口中的方法org.tensorflow.distruntime.RecvTensorResponseOrBuilder: Optional additional information about how to receive the tensor, e.g. in the event that `RecvTensorRequest.dma_ok` was true.
getType() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: int32 type = 2;
getType() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest: int32 type = 2;
getType() - 接口中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder: int32 type = 2;
getType() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "type" .tensorflow.DataType type = 6;
getType() - 类中的方法org.tensorflow.framework.AttrValue: "type" .tensorflow.DataType type = 6;
getType(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
getType(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
getType(int) - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
getType() - 接口中的方法org.tensorflow.framework.AttrValueOrBuilder: "type" .tensorflow.DataType type = 6;
getType() - 类中的方法org.tensorflow.framework.InterconnectLink.Builder: string type = 2;
getType() - 类中的方法org.tensorflow.framework.InterconnectLink: string type = 2;
getType() - 接口中的方法org.tensorflow.framework.InterconnectLinkOrBuilder: string type = 2;
getType() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
getType() - 类中的方法org.tensorflow.framework.OpDef.ArgDef: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
getType() - 接口中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
getType() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
getType() - 类中的方法org.tensorflow.framework.OpDef.AttrDef: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
getType() - 接口中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
getType() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Device type (CPU, GPU, ...)
getType() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties: Device type (CPU, GPU, ...)
getType() - 接口中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder: Device type (CPU, GPU, ...)
getType() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder: Identifies the type of the LogCollector we will use to collect these logs.
getType() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig: Identifies the type of the LogCollector we will use to collect these logs.
getType() - 接口中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfigOrBuilder: Identifies the type of the LogCollector we will use to collect these logs.
getTypeAttr() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: if specified, attr must have type "type" string type_attr = 4;
getTypeAttr() - 类中的方法org.tensorflow.framework.OpDef.ArgDef: if specified, attr must have type "type" string type_attr = 4;
getTypeAttr() - 接口中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder: if specified, attr must have type "type" string type_attr = 4;
getTypeAttrBytes() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: if specified, attr must have type "type" string type_attr = 4;
getTypeAttrBytes() - 类中的方法org.tensorflow.framework.OpDef.ArgDef: if specified, attr must have type "type" string type_attr = 4;
getTypeAttrBytes() - 接口中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder: if specified, attr must have type "type" string type_attr = 4;
getTypeBytes() - 类中的方法org.tensorflow.framework.InterconnectLink.Builder: string type = 2;
getTypeBytes() - 类中的方法org.tensorflow.framework.InterconnectLink: string type = 2;
getTypeBytes() - 接口中的方法org.tensorflow.framework.InterconnectLinkOrBuilder: string type = 2;
getTypeBytes() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
getTypeBytes() - 类中的方法org.tensorflow.framework.OpDef.AttrDef: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
getTypeBytes() - 接口中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
getTypeBytes() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Device type (CPU, GPU, ...)
getTypeBytes() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties: Device type (CPU, GPU, ...)
getTypeBytes() - 接口中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder: Device type (CPU, GPU, ...)
getTypeBytes() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder: Identifies the type of the LogCollector we will use to collect these logs.
getTypeBytes() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig: Identifies the type of the LogCollector we will use to collect these logs.
getTypeBytes() - 接口中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfigOrBuilder: Identifies the type of the LogCollector we will use to collect these logs.
getTypeCount() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
getTypeCount() - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
getTypeCount() - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
getTypeHint() - 类中的方法org.tensorflow.framework.SummaryDescription.Builder: Hint on how plugins should process the data in this series.
getTypeHint() - 类中的方法org.tensorflow.framework.SummaryDescription: Hint on how plugins should process the data in this series.
getTypeHint() - 接口中的方法org.tensorflow.framework.SummaryDescriptionOrBuilder: Hint on how plugins should process the data in this series.
getTypeHintBytes() - 类中的方法org.tensorflow.framework.SummaryDescription.Builder: Hint on how plugins should process the data in this series.
getTypeHintBytes() - 类中的方法org.tensorflow.framework.SummaryDescription: Hint on how plugins should process the data in this series.
getTypeHintBytes() - 接口中的方法org.tensorflow.framework.SummaryDescriptionOrBuilder: Hint on how plugins should process the data in this series.
getTypeList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
getTypeList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
getTypeList() - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
getTypeListAttr() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
getTypeListAttr() - 类中的方法org.tensorflow.framework.OpDef.ArgDef: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
getTypeListAttr() - 接口中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
getTypeListAttrBytes() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
getTypeListAttrBytes() - 类中的方法org.tensorflow.framework.OpDef.ArgDef: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
getTypeListAttrBytes() - 接口中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
getTypeName() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: string type_name = 3;
getTypeName() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo: string type_name = 3;
getTypeName() - 接口中的方法org.tensorflow.framework.GraphTransferNodeInfoOrBuilder: string type_name = 3;
getTypeName() - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Name of the type of objects being serialized.
getTypeName() - 类中的方法org.tensorflow.framework.VariantTensorDataProto: Name of the type of objects being serialized.
getTypeName() - 接口中的方法org.tensorflow.framework.VariantTensorDataProtoOrBuilder: Name of the type of objects being serialized.
getTypeNameBytes() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: string type_name = 3;
getTypeNameBytes() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo: string type_name = 3;
getTypeNameBytes() - 接口中的方法org.tensorflow.framework.GraphTransferNodeInfoOrBuilder: string type_name = 3;
getTypeNameBytes() - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Name of the type of objects being serialized.
getTypeNameBytes() - 类中的方法org.tensorflow.framework.VariantTensorDataProto: Name of the type of objects being serialized.
getTypeNameBytes() - 接口中的方法org.tensorflow.framework.VariantTensorDataProtoOrBuilder: Name of the type of objects being serialized.
getTypeValue() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "type" .tensorflow.DataType type = 6;
getTypeValue() - 类中的方法org.tensorflow.framework.AttrValue: "type" .tensorflow.DataType type = 6;
getTypeValue(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
getTypeValue(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
getTypeValue(int) - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
getTypeValue() - 接口中的方法org.tensorflow.framework.AttrValueOrBuilder: "type" .tensorflow.DataType type = 6;
getTypeValue() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
getTypeValue() - 类中的方法org.tensorflow.framework.OpDef.ArgDef: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
getTypeValue() - 接口中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
getTypeValueList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
getTypeValueList() - 类中的方法org.tensorflow.framework.AttrValue.ListValue: "list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
getTypeValueList() - 接口中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder: "list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
getUint32Val(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
getUint32Val(int) - 类中的方法org.tensorflow.framework.TensorProto: DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
getUint32Val(int) - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
getUint32ValCount() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
getUint32ValCount() - 类中的方法org.tensorflow.framework.TensorProto: DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
getUint32ValCount() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
getUint32ValList() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
getUint32ValList() - 类中的方法org.tensorflow.framework.TensorProto: DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
getUint32ValList() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
getUint64Val(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
getUint64Val(int) - 类中的方法org.tensorflow.framework.TensorProto: DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
getUint64Val(int) - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
getUint64ValCount() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
getUint64ValCount() - 类中的方法org.tensorflow.framework.TensorProto: DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
getUint64ValCount() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
getUint64ValList() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
getUint64ValList() - 类中的方法org.tensorflow.framework.TensorProto: DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
getUint64ValList() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
getUnknownFields() - 类中的方法org.tensorflow.distruntime.CleanupAllRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.CleanupAllResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.CloseSessionRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.CloseSessionResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.ClusterDef
getUnknownFields() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.ExecutorOpts
getUnknownFields() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.GetStatusRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.GetStatusResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.JobDef
getUnknownFields() - 类中的方法org.tensorflow.distruntime.LabeledStepStats
getUnknownFields() - 类中的方法org.tensorflow.distruntime.ListDevicesRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.LoggingRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.LoggingResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.MakeCallableResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.RecvBufRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.RecvBufResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.ResetRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.ResetResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.RunCallableRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.RunCallableResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.RunGraphRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.RunGraphResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.RunStepRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.RunStepResponse
getUnknownFields() - 类中的方法org.tensorflow.distruntime.ServerDef
getUnknownFields() - 类中的方法org.tensorflow.distruntime.StepSequence
getUnknownFields() - 类中的方法org.tensorflow.distruntime.TraceOpts
getUnknownFields() - 类中的方法org.tensorflow.distruntime.TracingRequest
getUnknownFields() - 类中的方法org.tensorflow.distruntime.TracingResponse
getUnknownFields() - 类中的方法org.tensorflow.example.BytesList
getUnknownFields() - 类中的方法org.tensorflow.example.Example
getUnknownFields() - 类中的方法org.tensorflow.example.ExampleParserConfiguration
getUnknownFields() - 类中的方法org.tensorflow.example.Feature
getUnknownFields() - 类中的方法org.tensorflow.example.FeatureConfiguration
getUnknownFields() - 类中的方法org.tensorflow.example.FeatureList
getUnknownFields() - 类中的方法org.tensorflow.example.FeatureLists
getUnknownFields() - 类中的方法org.tensorflow.example.Features
getUnknownFields() - 类中的方法org.tensorflow.example.FixedLenFeatureProto
getUnknownFields() - 类中的方法org.tensorflow.example.FloatList
getUnknownFields() - 类中的方法org.tensorflow.example.Int64List
getUnknownFields() - 类中的方法org.tensorflow.example.SequenceExample
getUnknownFields() - 类中的方法org.tensorflow.example.VarLenFeatureProto
getUnknownFields() - 类中的方法org.tensorflow.framework.AllocationDescription
getUnknownFields() - 类中的方法org.tensorflow.framework.AllocationRecord
getUnknownFields() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed
getUnknownFields() - 类中的方法org.tensorflow.framework.ApiDef.Arg
getUnknownFields() - 类中的方法org.tensorflow.framework.ApiDef.Attr
getUnknownFields() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint
getUnknownFields() - 类中的方法org.tensorflow.framework.ApiDef
getUnknownFields() - 类中的方法org.tensorflow.framework.ApiDefs
getUnknownFields() - 类中的方法org.tensorflow.framework.AssetFileDef
getUnknownFields() - 类中的方法org.tensorflow.framework.AttrValue
getUnknownFields() - 类中的方法org.tensorflow.framework.AttrValue.ListValue
getUnknownFields() - 类中的方法org.tensorflow.framework.AutoParallelOptions
getUnknownFields() - 类中的方法org.tensorflow.framework.CallableOptions
getUnknownFields() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList
getUnknownFields() - 类中的方法org.tensorflow.framework.CollectionDef.BytesList
getUnknownFields() - 类中的方法org.tensorflow.framework.CollectionDef.FloatList
getUnknownFields() - 类中的方法org.tensorflow.framework.CollectionDef
getUnknownFields() - 类中的方法org.tensorflow.framework.CollectionDef.Int64List
getUnknownFields() - 类中的方法org.tensorflow.framework.CollectionDef.NodeList
getUnknownFields() - 类中的方法org.tensorflow.framework.CondContextDef
getUnknownFields() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental
getUnknownFields() - 类中的方法org.tensorflow.framework.ConfigProto
getUnknownFields() - 类中的方法org.tensorflow.framework.ControlFlowContextDef
getUnknownFields() - 类中的方法org.tensorflow.framework.CostGraphDef
getUnknownFields() - 类中的方法org.tensorflow.framework.CostGraphDef.Node
getUnknownFields() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
getUnknownFields() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
getUnknownFields() - 类中的方法org.tensorflow.framework.CriticalSectionDef
getUnknownFields() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef
getUnknownFields() - 类中的方法org.tensorflow.framework.DebuggedSourceFile
getUnknownFields() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles
getUnknownFields() - 类中的方法org.tensorflow.framework.DebugOptions
getUnknownFields() - 类中的方法org.tensorflow.framework.DebugTensorWatch
getUnknownFields() - 类中的方法org.tensorflow.framework.DeviceAttributes
getUnknownFields() - 类中的方法org.tensorflow.framework.DeviceLocality
getUnknownFields() - 类中的方法org.tensorflow.framework.DeviceStepStats
getUnknownFields() - 类中的方法org.tensorflow.framework.FunctionDef
getUnknownFields() - 类中的方法org.tensorflow.framework.FunctionDefLibrary
getUnknownFields() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental
getUnknownFields() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
getUnknownFields() - 类中的方法org.tensorflow.framework.GPUOptions
getUnknownFields() - 类中的方法org.tensorflow.framework.GradientDef
getUnknownFields() - 类中的方法org.tensorflow.framework.GraphDef
getUnknownFields() - 类中的方法org.tensorflow.framework.GraphOptions
getUnknownFields() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
getUnknownFields() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
getUnknownFields() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
getUnknownFields() - 类中的方法org.tensorflow.framework.GraphTransferInfo
getUnknownFields() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo
getUnknownFields() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput
getUnknownFields() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo
getUnknownFields() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo
getUnknownFields() - 类中的方法org.tensorflow.framework.HistogramProto
getUnknownFields() - 类中的方法org.tensorflow.framework.InterconnectLink
getUnknownFields() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint
getUnknownFields() - 类中的方法org.tensorflow.framework.KernelDef
getUnknownFields() - 类中的方法org.tensorflow.framework.KernelList
getUnknownFields() - 类中的方法org.tensorflow.framework.LocalLinks
getUnknownFields() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation
getUnknownFields() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation
getUnknownFields() - 类中的方法org.tensorflow.framework.MemoryLogStep
getUnknownFields() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation
getUnknownFields() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation
getUnknownFields() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput
getUnknownFields() - 类中的方法org.tensorflow.framework.MemoryStats
getUnknownFields() - 类中的方法org.tensorflow.framework.MetaGraphDef
getUnknownFields() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
getUnknownFields() - 类中的方法org.tensorflow.framework.NameAttrList
getUnknownFields() - 类中的方法org.tensorflow.framework.NamedTensorProto
getUnknownFields() - 类中的方法org.tensorflow.framework.NodeDef
getUnknownFields() - 类中的方法org.tensorflow.framework.NodeExecStats
getUnknownFields() - 类中的方法org.tensorflow.framework.NodeOutput
getUnknownFields() - 类中的方法org.tensorflow.framework.OpDef.ArgDef
getUnknownFields() - 类中的方法org.tensorflow.framework.OpDef.AttrDef
getUnknownFields() - 类中的方法org.tensorflow.framework.OpDef
getUnknownFields() - 类中的方法org.tensorflow.framework.OpDeprecation
getUnknownFields() - 类中的方法org.tensorflow.framework.OpList
getUnknownFields() - 类中的方法org.tensorflow.framework.OptimizerOptions
getUnknownFields() - 类中的方法org.tensorflow.framework.QueueRunnerDef
getUnknownFields() - 类中的方法org.tensorflow.framework.ReaderBaseState
getUnknownFields() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
getUnknownFields() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
getUnknownFields() - 类中的方法org.tensorflow.framework.ResourceHandleProto
getUnknownFields() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
getUnknownFields() - 类中的方法org.tensorflow.framework.RewriterConfig
getUnknownFields() - 类中的方法org.tensorflow.framework.RPCOptions
getUnknownFields() - 类中的方法org.tensorflow.framework.RunMetadata
getUnknownFields() - 类中的方法org.tensorflow.framework.RunOptions.Experimental
getUnknownFields() - 类中的方法org.tensorflow.framework.RunOptions
getUnknownFields() - 类中的方法org.tensorflow.framework.SavedModel
getUnknownFields() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef
getUnknownFields() - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions
getUnknownFields() - 类中的方法org.tensorflow.framework.SignatureDef
getUnknownFields() - 类中的方法org.tensorflow.framework.StepStats
getUnknownFields() - 类中的方法org.tensorflow.framework.Summary.Audio
getUnknownFields() - 类中的方法org.tensorflow.framework.Summary
getUnknownFields() - 类中的方法org.tensorflow.framework.Summary.Image
getUnknownFields() - 类中的方法org.tensorflow.framework.Summary.Value
getUnknownFields() - 类中的方法org.tensorflow.framework.SummaryDescription
getUnknownFields() - 类中的方法org.tensorflow.framework.SummaryMetadata
getUnknownFields() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData
getUnknownFields() - 类中的方法org.tensorflow.framework.TensorConnection
getUnknownFields() - 类中的方法org.tensorflow.framework.TensorDescription
getUnknownFields() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse
getUnknownFields() - 类中的方法org.tensorflow.framework.TensorInfo
getUnknownFields() - 类中的方法org.tensorflow.framework.TensorProto
getUnknownFields() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim
getUnknownFields() - 类中的方法org.tensorflow.framework.TensorShapeProto
getUnknownFields() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent
getUnknownFields() - 类中的方法org.tensorflow.framework.TensorSliceProto
getUnknownFields() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto
getUnknownFields() - 类中的方法org.tensorflow.framework.ValuesDef
getUnknownFields() - 类中的方法org.tensorflow.framework.VariableDef
getUnknownFields() - 类中的方法org.tensorflow.framework.VariantTensorDataProto
getUnknownFields() - 类中的方法org.tensorflow.framework.VersionDef
getUnknownFields() - 类中的方法org.tensorflow.framework.WhileContextDef
getUnknownFields() - 类中的方法org.tensorflow.util.BundleEntryProto
getUnknownFields() - 类中的方法org.tensorflow.util.BundleHeaderProto
getUnknownFields() - 类中的方法org.tensorflow.util.IteratorStateMetadata
getUnknownFields() - 类中的方法org.tensorflow.util.SaverDef
getUnknownFields() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
getUnknownFields() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
getUnknownFields() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
getUnknownFields() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
getUnknownFields() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
getUnknownFields() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
getUnknownFields() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice
getUnknownFields() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
getUnknownFields() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
getUnknownFields() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
getUnknownFields() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
getUnknownFields() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
getUnknownFields() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
getUnknownFields() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
getUnknownFields() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
getUnknownFields() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation
getUnknownFields() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem
getUnknownFields() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
getUnknownFields() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
getUnknownFields() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
getUnknownFields() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
getUnknownFields() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
getUnknownFields() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
getUnknownFields() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
getUnknownFields() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
getUnknownFields() - 类中的方法tensorflow.serving.Classification.Class
getUnknownFields() - 类中的方法tensorflow.serving.Classification.ClassificationRequest
getUnknownFields() - 类中的方法tensorflow.serving.Classification.ClassificationResponse
getUnknownFields() - 类中的方法tensorflow.serving.Classification.ClassificationResult
getUnknownFields() - 类中的方法tensorflow.serving.Classification.Classifications
getUnknownFields() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
getUnknownFields() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
getUnknownFields() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
getUnknownFields() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
getUnknownFields() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
getUnknownFields() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
getUnknownFields() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
getUnknownFields() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
getUnknownFields() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
getUnknownFields() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
getUnknownFields() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
getUnknownFields() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus
getUnknownFields() - 类中的方法tensorflow.serving.Inference.InferenceResult
getUnknownFields() - 类中的方法tensorflow.serving.Inference.InferenceTask
getUnknownFields() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest
getUnknownFields() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse
getUnknownFields() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList
getUnknownFields() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
getUnknownFields() - 类中的方法tensorflow.serving.InputOuterClass.Input
getUnknownFields() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
getUnknownFields() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
getUnknownFields() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
getUnknownFields() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
getUnknownFields() - 类中的方法tensorflow.serving.Logging.LogMetadata
getUnknownFields() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
getUnknownFields() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
getUnknownFields() - 类中的方法tensorflow.serving.Model.ModelSpec
getUnknownFields() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest
getUnknownFields() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse
getUnknownFields() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
getUnknownFields() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
getUnknownFields() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
getUnknownFields() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
getUnknownFields() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
getUnknownFields() - 类中的方法tensorflow.serving.Predict.PredictRequest
getUnknownFields() - 类中的方法tensorflow.serving.Predict.PredictResponse
getUnknownFields() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
getUnknownFields() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
getUnknownFields() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
getUnknownFields() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog
getUnknownFields() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog
getUnknownFields() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
getUnknownFields() - 类中的方法tensorflow.serving.RegressionOuterClass.Regression
getUnknownFields() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest
getUnknownFields() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse
getUnknownFields() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult
getUnknownFields() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
getUnknownFields() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
getUnknownFields() - 类中的方法tensorflow.serving.SslConfig.SSLConfig
getUnknownFields() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
getUnknownFields() - 类中的方法tensorflow.serving.Status.StatusProto
getUnknownFields() - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra
getUnknownRank() - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder: If true, the number of dimensions in the shape is unknown.
getUnknownRank() - 类中的方法org.tensorflow.framework.TensorShapeProto: If true, the number of dimensions in the shape is unknown.
getUnknownRank() - 接口中的方法org.tensorflow.framework.TensorShapeProtoOrBuilder: If true, the number of dimensions in the shape is unknown.
getUseExtendedProfiler() - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder: If true, capture extended profiling events from TensorFlow process.
getUseExtendedProfiler() - 类中的方法org.tensorflow.distruntime.TraceOpts: If true, capture extended profiling events from TensorFlow process.
getUseExtendedProfiler() - 接口中的方法org.tensorflow.distruntime.TraceOptsOrBuilder: If true, capture extended profiling events from TensorFlow process.
getUseGpuProfiler() - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder: If true, capture GPU profiling events locally on each machine.
getUseGpuProfiler() - 类中的方法org.tensorflow.distruntime.TraceOpts: If true, capture GPU profiling events locally on each machine.
getUseGpuProfiler() - 接口中的方法org.tensorflow.distruntime.TraceOptsOrBuilder: If true, capture GPU profiling events locally on each machine.
getUseKernelProfiler() - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder: If true, capture kernel events from each worker.
getUseKernelProfiler() - 类中的方法org.tensorflow.distruntime.TraceOpts: If true, capture kernel events from each worker.
getUseKernelProfiler() - 接口中的方法org.tensorflow.distruntime.TraceOptsOrBuilder: If true, capture kernel events from each worker.
getUsePerSessionThreads() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: If true, use a new set of threads for this session rather than the global pool of threads.
getUsePerSessionThreads() - 类中的方法org.tensorflow.framework.ConfigProto: If true, use a new set of threads for this session rather than the global pool of threads.
getUsePerSessionThreads() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: If true, use a new set of threads for this session rather than the global pool of threads.
getUseRpcForInprocessMaster() - 类中的方法org.tensorflow.framework.RPCOptions.Builder: If true, always use RPC to contact the session target.
getUseRpcForInprocessMaster() - 类中的方法org.tensorflow.framework.RPCOptions: If true, always use RPC to contact the session target.
getUseRpcForInprocessMaster() - 接口中的方法org.tensorflow.framework.RPCOptionsOrBuilder: If true, always use RPC to contact the session target.
getUseSampleProfiler() - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder: If true, collect sampled profile events.
getUseSampleProfiler() - 类中的方法org.tensorflow.distruntime.TraceOpts: If true, collect sampled profile events.
getUseSampleProfiler() - 接口中的方法org.tensorflow.distruntime.TraceOptsOrBuilder: If true, collect sampled profile events.
getUseStepProfiler() - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder: If true, capture step profile locally in each worker.
getUseStepProfiler() - 类中的方法org.tensorflow.distruntime.TraceOpts: If true, capture step profile locally in each worker.
getUseStepProfiler() - 接口中的方法org.tensorflow.distruntime.TraceOptsOrBuilder: If true, capture step profile locally in each worker.
getUseUnifiedMemory() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: If true, uses CUDA unified memory for memory allocations.
getUseUnifiedMemory() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental: If true, uses CUDA unified memory for memory allocations.
getUseUnifiedMemory() - 接口中的方法org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder: If true, uses CUDA unified memory for memory allocations.
getValue(int) - 类中的方法org.tensorflow.example.BytesList.Builder: repeated bytes value = 1;
getValue(int) - 类中的方法org.tensorflow.example.BytesList: repeated bytes value = 1;
getValue(int) - 接口中的方法org.tensorflow.example.BytesListOrBuilder: repeated bytes value = 1;
getValue(int) - 类中的方法org.tensorflow.example.FloatList.Builder: repeated float value = 1 [packed = true];
getValue(int) - 类中的方法org.tensorflow.example.FloatList: repeated float value = 1 [packed = true];
getValue(int) - 接口中的方法org.tensorflow.example.FloatListOrBuilder: repeated float value = 1 [packed = true];
getValue(int) - 类中的方法org.tensorflow.example.Int64List.Builder: repeated int64 value = 1 [packed = true];
getValue(int) - 类中的方法org.tensorflow.example.Int64List: repeated int64 value = 1 [packed = true];
getValue(int) - 接口中的方法org.tensorflow.example.Int64ListOrBuilder: repeated int64 value = 1 [packed = true];
getValue(int) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
getValue(int) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList: repeated .google.protobuf.Any value = 1;
getValue(int) - 接口中的方法org.tensorflow.framework.CollectionDef.AnyListOrBuilder: repeated .google.protobuf.Any value = 1;
getValue(int) - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder: repeated bytes value = 1;
getValue(int) - 类中的方法org.tensorflow.framework.CollectionDef.BytesList: repeated bytes value = 1;
getValue(int) - 接口中的方法org.tensorflow.framework.CollectionDef.BytesListOrBuilder: repeated bytes value = 1;
getValue(int) - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder: repeated float value = 1 [packed = true];
getValue(int) - 类中的方法org.tensorflow.framework.CollectionDef.FloatList: repeated float value = 1 [packed = true];
getValue(int) - 接口中的方法org.tensorflow.framework.CollectionDef.FloatListOrBuilder: repeated float value = 1 [packed = true];
getValue(int) - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder: repeated int64 value = 1 [packed = true];
getValue(int) - 类中的方法org.tensorflow.framework.CollectionDef.Int64List: repeated int64 value = 1 [packed = true];
getValue(int) - 接口中的方法org.tensorflow.framework.CollectionDef.Int64ListOrBuilder: repeated int64 value = 1 [packed = true];
getValue(int) - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder: repeated string value = 1;
getValue(int) - 类中的方法org.tensorflow.framework.CollectionDef.NodeList: repeated string value = 1;
getValue(int) - 接口中的方法org.tensorflow.framework.CollectionDef.NodeListOrBuilder: repeated string value = 1;
getValue(int) - 类中的方法org.tensorflow.framework.Summary.Builder: Set of values for the summary.
getValue(int) - 类中的方法org.tensorflow.framework.Summary: Set of values for the summary.
getValue(int) - 接口中的方法org.tensorflow.framework.SummaryOrBuilder: Set of values for the summary.
getValue() - 类中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder: float value = 1;
getValue() - 类中的方法tensorflow.serving.RegressionOuterClass.Regression: float value = 1;
getValue() - 接口中的方法tensorflow.serving.RegressionOuterClass.RegressionOrBuilder: float value = 1;
getValueBuilder(int) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
getValueBuilder(int) - 类中的方法org.tensorflow.framework.Summary.Builder: Set of values for the summary.
getValueBuilderList() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
getValueBuilderList() - 类中的方法org.tensorflow.framework.Summary.Builder: Set of values for the summary.
getValueBytes(int) - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder: repeated string value = 1;
getValueBytes(int) - 类中的方法org.tensorflow.framework.CollectionDef.NodeList: repeated string value = 1;
getValueBytes(int) - 接口中的方法org.tensorflow.framework.CollectionDef.NodeListOrBuilder: repeated string value = 1;
getValueCase() - 类中的方法org.tensorflow.framework.AttrValue.Builder
getValueCase() - 类中的方法org.tensorflow.framework.AttrValue
getValueCase() - 接口中的方法org.tensorflow.framework.AttrValueOrBuilder
getValueCase() - 类中的方法org.tensorflow.framework.Summary.Value.Builder
getValueCase() - 类中的方法org.tensorflow.framework.Summary.Value
getValueCase() - 接口中的方法org.tensorflow.framework.Summary.ValueOrBuilder
getValueCount() - 类中的方法org.tensorflow.example.BytesList.Builder: repeated bytes value = 1;
getValueCount() - 类中的方法org.tensorflow.example.BytesList: repeated bytes value = 1;
getValueCount() - 接口中的方法org.tensorflow.example.BytesListOrBuilder: repeated bytes value = 1;
getValueCount() - 类中的方法org.tensorflow.example.FloatList.Builder: repeated float value = 1 [packed = true];
getValueCount() - 类中的方法org.tensorflow.example.FloatList: repeated float value = 1 [packed = true];
getValueCount() - 接口中的方法org.tensorflow.example.FloatListOrBuilder: repeated float value = 1 [packed = true];
getValueCount() - 类中的方法org.tensorflow.example.Int64List.Builder: repeated int64 value = 1 [packed = true];
getValueCount() - 类中的方法org.tensorflow.example.Int64List: repeated int64 value = 1 [packed = true];
getValueCount() - 接口中的方法org.tensorflow.example.Int64ListOrBuilder: repeated int64 value = 1 [packed = true];
getValueCount() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
getValueCount() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList: repeated .google.protobuf.Any value = 1;
getValueCount() - 接口中的方法org.tensorflow.framework.CollectionDef.AnyListOrBuilder: repeated .google.protobuf.Any value = 1;
getValueCount() - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder: repeated bytes value = 1;
getValueCount() - 类中的方法org.tensorflow.framework.CollectionDef.BytesList: repeated bytes value = 1;
getValueCount() - 接口中的方法org.tensorflow.framework.CollectionDef.BytesListOrBuilder: repeated bytes value = 1;
getValueCount() - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder: repeated float value = 1 [packed = true];
getValueCount() - 类中的方法org.tensorflow.framework.CollectionDef.FloatList: repeated float value = 1 [packed = true];
getValueCount() - 接口中的方法org.tensorflow.framework.CollectionDef.FloatListOrBuilder: repeated float value = 1 [packed = true];
getValueCount() - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder: repeated int64 value = 1 [packed = true];
getValueCount() - 类中的方法org.tensorflow.framework.CollectionDef.Int64List: repeated int64 value = 1 [packed = true];
getValueCount() - 接口中的方法org.tensorflow.framework.CollectionDef.Int64ListOrBuilder: repeated int64 value = 1 [packed = true];
getValueCount() - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder: repeated string value = 1;
getValueCount() - 类中的方法org.tensorflow.framework.CollectionDef.NodeList: repeated string value = 1;
getValueCount() - 接口中的方法org.tensorflow.framework.CollectionDef.NodeListOrBuilder: repeated string value = 1;
getValueCount() - 类中的方法org.tensorflow.framework.Summary.Builder: Set of values for the summary.
getValueCount() - 类中的方法org.tensorflow.framework.Summary: Set of values for the summary.
getValueCount() - 接口中的方法org.tensorflow.framework.SummaryOrBuilder: Set of values for the summary.
getValueDescriptor() - 枚举中的方法org.tensorflow.framework.ApiDef.Visibility
getValueDescriptor() - 枚举中的方法org.tensorflow.framework.Code
getValueDescriptor() - 枚举中的方法org.tensorflow.framework.DataType
getValueDescriptor() - 枚举中的方法org.tensorflow.framework.GraphTransferInfo.Destination
getValueDescriptor() - 枚举中的方法org.tensorflow.framework.OptimizerOptions.GlobalJitLevel
getValueDescriptor() - 枚举中的方法org.tensorflow.framework.OptimizerOptions.Level
getValueDescriptor() - 枚举中的方法org.tensorflow.framework.RewriterConfig.MemOptType
getValueDescriptor() - 枚举中的方法org.tensorflow.framework.RewriterConfig.NumIterationsType
getValueDescriptor() - 枚举中的方法org.tensorflow.framework.RewriterConfig.Toggle
getValueDescriptor() - 枚举中的方法org.tensorflow.framework.RunOptions.TraceLevel
getValueDescriptor() - 枚举中的方法org.tensorflow.util.BundleHeaderProto.Endianness
getValueDescriptor() - 枚举中的方法org.tensorflow.util.SaverDef.CheckpointFormatVersion
getValueDescriptor() - 枚举中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.State
getValueDescriptor() - 枚举中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelType
getValueList() - 类中的方法org.tensorflow.example.BytesList.Builder: repeated bytes value = 1;
getValueList() - 类中的方法org.tensorflow.example.BytesList: repeated bytes value = 1;
getValueList() - 接口中的方法org.tensorflow.example.BytesListOrBuilder: repeated bytes value = 1;
getValueList() - 类中的方法org.tensorflow.example.FloatList.Builder: repeated float value = 1 [packed = true];
getValueList() - 类中的方法org.tensorflow.example.FloatList: repeated float value = 1 [packed = true];
getValueList() - 接口中的方法org.tensorflow.example.FloatListOrBuilder: repeated float value = 1 [packed = true];
getValueList() - 类中的方法org.tensorflow.example.Int64List.Builder: repeated int64 value = 1 [packed = true];
getValueList() - 类中的方法org.tensorflow.example.Int64List: repeated int64 value = 1 [packed = true];
getValueList() - 接口中的方法org.tensorflow.example.Int64ListOrBuilder: repeated int64 value = 1 [packed = true];
getValueList() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
getValueList() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList: repeated .google.protobuf.Any value = 1;
getValueList() - 接口中的方法org.tensorflow.framework.CollectionDef.AnyListOrBuilder: repeated .google.protobuf.Any value = 1;
getValueList() - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder: repeated bytes value = 1;
getValueList() - 类中的方法org.tensorflow.framework.CollectionDef.BytesList: repeated bytes value = 1;
getValueList() - 接口中的方法org.tensorflow.framework.CollectionDef.BytesListOrBuilder: repeated bytes value = 1;
getValueList() - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder: repeated float value = 1 [packed = true];
getValueList() - 类中的方法org.tensorflow.framework.CollectionDef.FloatList: repeated float value = 1 [packed = true];
getValueList() - 接口中的方法org.tensorflow.framework.CollectionDef.FloatListOrBuilder: repeated float value = 1 [packed = true];
getValueList() - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder: repeated int64 value = 1 [packed = true];
getValueList() - 类中的方法org.tensorflow.framework.CollectionDef.Int64List: repeated int64 value = 1 [packed = true];
getValueList() - 接口中的方法org.tensorflow.framework.CollectionDef.Int64ListOrBuilder: repeated int64 value = 1 [packed = true];
getValueList() - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder: repeated string value = 1;
getValueList() - 类中的方法org.tensorflow.framework.CollectionDef.NodeList: repeated string value = 1;
getValueList() - 接口中的方法org.tensorflow.framework.CollectionDef.NodeListOrBuilder: repeated string value = 1;
getValueList() - 类中的方法org.tensorflow.framework.Summary.Builder: Set of values for the summary.
getValueList() - 类中的方法org.tensorflow.framework.Summary: Set of values for the summary.
getValueList() - 接口中的方法org.tensorflow.framework.SummaryOrBuilder: Set of values for the summary.
getValueOrBuilder(int) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
getValueOrBuilder(int) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList: repeated .google.protobuf.Any value = 1;
getValueOrBuilder(int) - 接口中的方法org.tensorflow.framework.CollectionDef.AnyListOrBuilder: repeated .google.protobuf.Any value = 1;
getValueOrBuilder(int) - 类中的方法org.tensorflow.framework.Summary.Builder: Set of values for the summary.
getValueOrBuilder(int) - 类中的方法org.tensorflow.framework.Summary: Set of values for the summary.
getValueOrBuilder(int) - 接口中的方法org.tensorflow.framework.SummaryOrBuilder: Set of values for the summary.
getValueOrBuilderList() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
getValueOrBuilderList() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList: repeated .google.protobuf.Any value = 1;
getValueOrBuilderList() - 接口中的方法org.tensorflow.framework.CollectionDef.AnyListOrBuilder: repeated .google.protobuf.Any value = 1;
getValueOrBuilderList() - 类中的方法org.tensorflow.framework.Summary.Builder: Set of values for the summary.
getValueOrBuilderList() - 类中的方法org.tensorflow.framework.Summary: Set of values for the summary.
getValueOrBuilderList() - 接口中的方法org.tensorflow.framework.SummaryOrBuilder: Set of values for the summary.
getValues(int) - 类中的方法org.tensorflow.framework.ValuesDef.Builder: Value names that have been seen in this context.
getValues(int) - 类中的方法org.tensorflow.framework.ValuesDef: Value names that have been seen in this context.
getValues(int) - 接口中的方法org.tensorflow.framework.ValuesDefOrBuilder: Value names that have been seen in this context.
getValuesBytes(int) - 类中的方法org.tensorflow.framework.ValuesDef.Builder: Value names that have been seen in this context.
getValuesBytes(int) - 类中的方法org.tensorflow.framework.ValuesDef: Value names that have been seen in this context.
getValuesBytes(int) - 接口中的方法org.tensorflow.framework.ValuesDefOrBuilder: Value names that have been seen in this context.
getValuesCount() - 类中的方法org.tensorflow.framework.ValuesDef.Builder: Value names that have been seen in this context.
getValuesCount() - 类中的方法org.tensorflow.framework.ValuesDef: Value names that have been seen in this context.
getValuesCount() - 接口中的方法org.tensorflow.framework.ValuesDefOrBuilder: Value names that have been seen in this context.
getValuesDef() - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Values and external values in control flow context.
getValuesDef() - 类中的方法org.tensorflow.framework.CondContextDef: Values and external values in control flow context.
getValuesDef() - 接口中的方法org.tensorflow.framework.CondContextDefOrBuilder: Values and external values in control flow context.
getValuesDef() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Values and external values in control flow context.
getValuesDef() - 类中的方法org.tensorflow.framework.WhileContextDef: Values and external values in control flow context.
getValuesDef() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: Values and external values in control flow context.
getValuesDefBuilder() - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Values and external values in control flow context.
getValuesDefBuilder() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Values and external values in control flow context.
getValuesDefOrBuilder() - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Values and external values in control flow context.
getValuesDefOrBuilder() - 类中的方法org.tensorflow.framework.CondContextDef: Values and external values in control flow context.
getValuesDefOrBuilder() - 接口中的方法org.tensorflow.framework.CondContextDefOrBuilder: Values and external values in control flow context.
getValuesDefOrBuilder() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Values and external values in control flow context.
getValuesDefOrBuilder() - 类中的方法org.tensorflow.framework.WhileContextDef: Values and external values in control flow context.
getValuesDefOrBuilder() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: Values and external values in control flow context.
getValuesList() - 类中的方法org.tensorflow.framework.ValuesDef.Builder: Value names that have been seen in this context.
getValuesList() - 类中的方法org.tensorflow.framework.ValuesDef: Value names that have been seen in this context.
getValuesList() - 接口中的方法org.tensorflow.framework.ValuesDefOrBuilder: Value names that have been seen in this context.
getValuesOutputTensorName() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: string values_output_tensor_name = 4;
getValuesOutputTensorName() - 类中的方法org.tensorflow.example.FixedLenFeatureProto: string values_output_tensor_name = 4;
getValuesOutputTensorName() - 接口中的方法org.tensorflow.example.FixedLenFeatureProtoOrBuilder: string values_output_tensor_name = 4;
getValuesOutputTensorName() - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder: string values_output_tensor_name = 2;
getValuesOutputTensorName() - 类中的方法org.tensorflow.example.VarLenFeatureProto: string values_output_tensor_name = 2;
getValuesOutputTensorName() - 接口中的方法org.tensorflow.example.VarLenFeatureProtoOrBuilder: string values_output_tensor_name = 2;
getValuesOutputTensorNameBytes() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: string values_output_tensor_name = 4;
getValuesOutputTensorNameBytes() - 类中的方法org.tensorflow.example.FixedLenFeatureProto: string values_output_tensor_name = 4;
getValuesOutputTensorNameBytes() - 接口中的方法org.tensorflow.example.FixedLenFeatureProtoOrBuilder: string values_output_tensor_name = 4;
getValuesOutputTensorNameBytes() - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder: string values_output_tensor_name = 2;
getValuesOutputTensorNameBytes() - 类中的方法org.tensorflow.example.VarLenFeatureProto: string values_output_tensor_name = 2;
getValuesOutputTensorNameBytes() - 接口中的方法org.tensorflow.example.VarLenFeatureProtoOrBuilder: string values_output_tensor_name = 2;
getValuesTensorName() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder: The shape of the values Tensor is [?].
getValuesTensorName() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse: The shape of the values Tensor is [?].
getValuesTensorName() - 接口中的方法org.tensorflow.framework.TensorInfo.CooSparseOrBuilder: The shape of the values Tensor is [?].
getValuesTensorNameBytes() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder: The shape of the values Tensor is [?].
getValuesTensorNameBytes() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse: The shape of the values Tensor is [?].
getValuesTensorNameBytes() - 接口中的方法org.tensorflow.framework.TensorInfo.CooSparseOrBuilder: The shape of the values Tensor is [?].
getVariableName() - 类中的方法org.tensorflow.framework.VariableDef.Builder: Name of the variable tensor.
getVariableName() - 类中的方法org.tensorflow.framework.VariableDef: Name of the variable tensor.
getVariableName() - 接口中的方法org.tensorflow.framework.VariableDefOrBuilder: Name of the variable tensor.
getVariableNameBytes() - 类中的方法org.tensorflow.framework.VariableDef.Builder: Name of the variable tensor.
getVariableNameBytes() - 类中的方法org.tensorflow.framework.VariableDef: Name of the variable tensor.
getVariableNameBytes() - 接口中的方法org.tensorflow.framework.VariableDefOrBuilder: Name of the variable tensor.
getVariantVal(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
getVariantVal(int) - 类中的方法org.tensorflow.framework.TensorProto: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
getVariantVal(int) - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
getVariantValBuilder(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
getVariantValBuilderList() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
getVariantValCount() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
getVariantValCount() - 类中的方法org.tensorflow.framework.TensorProto: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
getVariantValCount() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
getVariantValList() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
getVariantValList() - 类中的方法org.tensorflow.framework.TensorProto: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
getVariantValList() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
getVariantValOrBuilder(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
getVariantValOrBuilder(int) - 类中的方法org.tensorflow.framework.TensorProto: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
getVariantValOrBuilder(int) - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
getVariantValOrBuilderList() - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
getVariantValOrBuilderList() - 类中的方法org.tensorflow.framework.TensorProto: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
getVariantValOrBuilderList() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
getVarLenFeature() - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
getVarLenFeature() - 类中的方法org.tensorflow.example.FeatureConfiguration: .tensorflow.VarLenFeatureProto var_len_feature = 2;
getVarLenFeature() - 接口中的方法org.tensorflow.example.FeatureConfigurationOrBuilder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
getVarLenFeatureBuilder() - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
getVarLenFeatureOrBuilder() - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
getVarLenFeatureOrBuilder() - 类中的方法org.tensorflow.example.FeatureConfiguration: .tensorflow.VarLenFeatureProto var_len_feature = 2;
getVarLenFeatureOrBuilder() - 接口中的方法org.tensorflow.example.FeatureConfigurationOrBuilder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
getVarOffset(int) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Offset of this variable into the full variable.
getVarOffset(int) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef: Offset of this variable into the full variable.
getVarOffset(int) - 接口中的方法org.tensorflow.framework.SaveSliceInfoDefOrBuilder: Offset of this variable into the full variable.
getVarOffsetCount() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Offset of this variable into the full variable.
getVarOffsetCount() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef: Offset of this variable into the full variable.
getVarOffsetCount() - 接口中的方法org.tensorflow.framework.SaveSliceInfoDefOrBuilder: Offset of this variable into the full variable.
getVarOffsetList() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Offset of this variable into the full variable.
getVarOffsetList() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef: Offset of this variable into the full variable.
getVarOffsetList() - 接口中的方法org.tensorflow.framework.SaveSliceInfoDefOrBuilder: Offset of this variable into the full variable.
getVarShape(int) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Shape of this variable.
getVarShape(int) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef: Shape of this variable.
getVarShape(int) - 接口中的方法org.tensorflow.framework.SaveSliceInfoDefOrBuilder: Shape of this variable.
getVarShapeCount() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Shape of this variable.
getVarShapeCount() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef: Shape of this variable.
getVarShapeCount() - 接口中的方法org.tensorflow.framework.SaveSliceInfoDefOrBuilder: Shape of this variable.
getVarShapeList() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Shape of this variable.
getVarShapeList() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef: Shape of this variable.
getVarShapeList() - 接口中的方法org.tensorflow.framework.SaveSliceInfoDefOrBuilder: Shape of this variable.
getVendor() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Vendor (Intel, nvidia, ...)
getVendor() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties: Vendor (Intel, nvidia, ...)
getVendor() - 接口中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder: Vendor (Intel, nvidia, ...)
getVendorBytes() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Vendor (Intel, nvidia, ...)
getVendorBytes() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties: Vendor (Intel, nvidia, ...)
getVendorBytes() - 接口中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder: Vendor (Intel, nvidia, ...)
getVersion() - 类中的方法org.tensorflow.framework.GraphDef.Builder: 已过时。
getVersion() - 类中的方法org.tensorflow.framework.GraphDef: 已过时。
getVersion() - 接口中的方法org.tensorflow.framework.GraphDefOrBuilder: 已过时。
getVersion() - 类中的方法org.tensorflow.framework.OpDeprecation.Builder: First GraphDef version at which the op is disallowed.
getVersion() - 类中的方法org.tensorflow.framework.OpDeprecation: First GraphDef version at which the op is disallowed.
getVersion() - 接口中的方法org.tensorflow.framework.OpDeprecationOrBuilder: First GraphDef version at which the op is disallowed.
getVersion() - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
getVersion() - 类中的方法org.tensorflow.util.BundleHeaderProto: Versioning of the tensor bundle format.
getVersion() - 接口中的方法org.tensorflow.util.BundleHeaderProtoOrBuilder: Versioning of the tensor bundle format.
getVersion() - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder: A user-specified version string.
getVersion() - 类中的方法org.tensorflow.util.IteratorStateMetadata: A user-specified version string.
getVersion() - 接口中的方法org.tensorflow.util.IteratorStateMetadataOrBuilder: A user-specified version string.
getVersion() - 类中的方法org.tensorflow.util.SaverDef.Builder: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
getVersion() - 类中的方法org.tensorflow.util.SaverDef: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
getVersion() - 接口中的方法org.tensorflow.util.SaverDefOrBuilder: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
getVersion() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder: Model version.
getVersion() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus: Model version.
getVersion() - 接口中的方法tensorflow.serving.GetModelStatus.ModelVersionStatusOrBuilder: Model version.
getVersion() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: Use this specific version number.
getVersion() - 类中的方法tensorflow.serving.Model.ModelSpec: Use this specific version number.
getVersion() - 接口中的方法tensorflow.serving.Model.ModelSpecOrBuilder: Use this specific version number.
getVersionBuilder() - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
getVersionBuilder() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: Use this specific version number.
getVersionBytes() - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder: A user-specified version string.
getVersionBytes() - 类中的方法org.tensorflow.util.IteratorStateMetadata: A user-specified version string.
getVersionBytes() - 接口中的方法org.tensorflow.util.IteratorStateMetadataOrBuilder: A user-specified version string.
getVersionChoiceCase() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder
getVersionChoiceCase() - 类中的方法tensorflow.serving.Model.ModelSpec
getVersionChoiceCase() - 接口中的方法tensorflow.serving.Model.ModelSpecOrBuilder
getVersionDef() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: This is the version for all the ops that will be enqueued by the client.
getVersionDef() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest: This is the version for all the ops that will be enqueued by the client.
getVersionDef() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder: This is the version for all the ops that will be enqueued by the client.
getVersionDefBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: This is the version for all the ops that will be enqueued by the client.
getVersionDefOrBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: This is the version for all the ops that will be enqueued by the client.
getVersionDefOrBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest: This is the version for all the ops that will be enqueued by the client.
getVersionDefOrBuilder() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder: This is the version for all the ops that will be enqueued by the client.
getVersionLabel() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: Use the version associated with the given label.
getVersionLabel() - 类中的方法tensorflow.serving.Model.ModelSpec: Use the version associated with the given label.
getVersionLabel() - 接口中的方法tensorflow.serving.Model.ModelSpecOrBuilder: Use the version associated with the given label.
getVersionLabelBytes() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: Use the version associated with the given label.
getVersionLabelBytes() - 类中的方法tensorflow.serving.Model.ModelSpec: Use the version associated with the given label.
getVersionLabelBytes() - 接口中的方法tensorflow.serving.Model.ModelSpecOrBuilder: Use the version associated with the given label.
getVersionNum() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder: int64 version_num = 2;
getVersionNum() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig: int64 version_num = 2;
getVersionNum() - 接口中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfigOrBuilder: int64 version_num = 2;
getVersionNumber() - 类中的方法org.tensorflow.framework.TensorProto.Builder: Version number.
getVersionNumber() - 类中的方法org.tensorflow.framework.TensorProto: Version number.
getVersionNumber() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: Version number.
getVersionOrBuilder() - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
getVersionOrBuilder() - 类中的方法org.tensorflow.util.BundleHeaderProto: Versioning of the tensor bundle format.
getVersionOrBuilder() - 接口中的方法org.tensorflow.util.BundleHeaderProtoOrBuilder: Versioning of the tensor bundle format.
getVersionOrBuilder() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: Use this specific version number.
getVersionOrBuilder() - 类中的方法tensorflow.serving.Model.ModelSpec: Use this specific version number.
getVersionOrBuilder() - 接口中的方法tensorflow.serving.Model.ModelSpecOrBuilder: Use this specific version number.
getVersionPath() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder: string version_path = 3;
getVersionPath() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig: string version_path = 3;
getVersionPath() - 接口中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfigOrBuilder: string version_path = 3;
getVersionPathBytes() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder: string version_path = 3;
getVersionPathBytes() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig: string version_path = 3;
getVersionPathBytes() - 接口中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfigOrBuilder: string version_path = 3;
getVersions() - 类中的方法org.tensorflow.framework.GraphDef.Builder: Compatibility versions of the graph.
getVersions() - 类中的方法org.tensorflow.framework.GraphDef: Compatibility versions of the graph.
getVersions() - 接口中的方法org.tensorflow.framework.GraphDefOrBuilder: Compatibility versions of the graph.
getVersions(int) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder: The version numbers to serve.
getVersions(int) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific: The version numbers to serve.
getVersions(int) - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.SpecificOrBuilder: The version numbers to serve.
getVersionsBuilder() - 类中的方法org.tensorflow.framework.GraphDef.Builder: Compatibility versions of the graph.
getVersionsCount() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder: The version numbers to serve.
getVersionsCount() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific: The version numbers to serve.
getVersionsCount() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.SpecificOrBuilder: The version numbers to serve.
getVersionsList() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder: The version numbers to serve.
getVersionsList() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific: The version numbers to serve.
getVersionsList() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.SpecificOrBuilder: The version numbers to serve.
getVersionsOrBuilder() - 类中的方法org.tensorflow.framework.GraphDef.Builder: Compatibility versions of the graph.
getVersionsOrBuilder() - 类中的方法org.tensorflow.framework.GraphDef: Compatibility versions of the graph.
getVersionsOrBuilder() - 接口中的方法org.tensorflow.framework.GraphDefOrBuilder: Compatibility versions of the graph.
getVersionValue() - 类中的方法org.tensorflow.util.SaverDef.Builder: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
getVersionValue() - 类中的方法org.tensorflow.util.SaverDef: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
getVersionValue() - 接口中的方法org.tensorflow.util.SaverDefOrBuilder: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
getVirtualDevices(int) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
getVirtualDevices(int) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental: The multi virtual device settings.
getVirtualDevices(int) - 接口中的方法org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder: The multi virtual device settings.
getVirtualDevicesBuilder(int) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
getVirtualDevicesBuilderList() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
getVirtualDevicesCount() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
getVirtualDevicesCount() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental: The multi virtual device settings.
getVirtualDevicesCount() - 接口中的方法org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder: The multi virtual device settings.
getVirtualDevicesList() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
getVirtualDevicesList() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental: The multi virtual device settings.
getVirtualDevicesList() - 接口中的方法org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder: The multi virtual device settings.
getVirtualDevicesOrBuilder(int) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
getVirtualDevicesOrBuilder(int) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental: The multi virtual device settings.
getVirtualDevicesOrBuilder(int) - 接口中的方法org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder: The multi virtual device settings.
getVirtualDevicesOrBuilderList() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
getVirtualDevicesOrBuilderList() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental: The multi virtual device settings.
getVirtualDevicesOrBuilderList() - 接口中的方法org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder: The multi virtual device settings.
getVisibility() - 类中的方法org.tensorflow.framework.ApiDef.Builder: .tensorflow.ApiDef.Visibility visibility = 2;
getVisibility() - 类中的方法org.tensorflow.framework.ApiDef: .tensorflow.ApiDef.Visibility visibility = 2;
getVisibility() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: .tensorflow.ApiDef.Visibility visibility = 2;
getVisibilityValue() - 类中的方法org.tensorflow.framework.ApiDef.Builder: .tensorflow.ApiDef.Visibility visibility = 2;
getVisibilityValue() - 类中的方法org.tensorflow.framework.ApiDef: .tensorflow.ApiDef.Visibility visibility = 2;
getVisibilityValue() - 接口中的方法org.tensorflow.framework.ApiDefOrBuilder: .tensorflow.ApiDef.Visibility visibility = 2;
getVisibleDeviceList() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
getVisibleDeviceList() - 类中的方法org.tensorflow.framework.GPUOptions: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
getVisibleDeviceList() - 接口中的方法org.tensorflow.framework.GPUOptionsOrBuilder: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
getVisibleDeviceListBytes() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
getVisibleDeviceListBytes() - 类中的方法org.tensorflow.framework.GPUOptions: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
getVisibleDeviceListBytes() - 接口中的方法org.tensorflow.framework.GPUOptionsOrBuilder: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
getWaitQueueDoneMethod() - 类中的静态方法tensorflow.eager.EagerServiceGrpc
getWhileCtxt() - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
getWhileCtxt() - 类中的方法org.tensorflow.framework.ControlFlowContextDef: .tensorflow.WhileContextDef while_ctxt = 2;
getWhileCtxt() - 接口中的方法org.tensorflow.framework.ControlFlowContextDefOrBuilder: .tensorflow.WhileContextDef while_ctxt = 2;
getWhileCtxtBuilder() - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
getWhileCtxtOrBuilder() - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
getWhileCtxtOrBuilder() - 类中的方法org.tensorflow.framework.ControlFlowContextDef: .tensorflow.WhileContextDef while_ctxt = 2;
getWhileCtxtOrBuilder() - 接口中的方法org.tensorflow.framework.ControlFlowContextDefOrBuilder: .tensorflow.WhileContextDef while_ctxt = 2;
getWidth() - 类中的方法org.tensorflow.framework.Summary.Image.Builder: int32 width = 2;
getWidth() - 类中的方法org.tensorflow.framework.Summary.Image: int32 width = 2;
getWidth() - 接口中的方法org.tensorflow.framework.Summary.ImageOrBuilder: int32 width = 2;
getWorkFinished() - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder: int64 work_finished = 2;
getWorkFinished() - 类中的方法org.tensorflow.framework.ReaderBaseState: int64 work_finished = 2;
getWorkFinished() - 接口中的方法org.tensorflow.framework.ReaderBaseStateOrBuilder: int64 work_finished = 2;
getWorkStarted() - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder: int64 work_started = 1;
getWorkStarted() - 类中的方法org.tensorflow.framework.ReaderBaseState: int64 work_started = 1;
getWorkStarted() - 接口中的方法org.tensorflow.framework.ReaderBaseStateOrBuilder: int64 work_started = 1;
GLOBAL_JIT_LEVEL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OptimizerOptions
GLOBAL_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ThreadPoolOptionProto
GLOBAL_STEP_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DebugOptions
GPU_OPTIONS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ConfigProto
GPUOptions - org.tensorflow.framework中的类: Protobuf type tensorflow.GPUOptions
GPUOptions.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.GPUOptions
GPUOptions.Experimental - org.tensorflow.framework中的类: Protobuf type tensorflow.GPUOptions.Experimental
GPUOptions.Experimental.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.GPUOptions.Experimental
GPUOptions.Experimental.VirtualDevices - org.tensorflow.framework中的类: Configuration for breaking down a visible GPU into multiple "virtual" devices.
GPUOptions.Experimental.VirtualDevices.Builder - org.tensorflow.framework中的类: Configuration for breaking down a visible GPU into multiple "virtual" devices.
GPUOptions.Experimental.VirtualDevicesOrBuilder - org.tensorflow.framework中的接口
GPUOptions.ExperimentalOrBuilder - org.tensorflow.framework中的接口
GPUOptionsOrBuilder - org.tensorflow.framework中的接口
GRADIENT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.FunctionDefLibrary
GRADIENT_FUNC_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GradientDef
GradientDef - org.tensorflow.framework中的类: GradientDef defines the gradient function of a function defined in a function library.
GradientDef.Builder - org.tensorflow.framework中的类: GradientDef defines the gradient function of a function defined in a function library.
GradientDefOrBuilder - org.tensorflow.framework中的接口
GRAPH_DEF_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CreateSessionRequest
GRAPH_DEF_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.ExtendSessionRequest
GRAPH_DEF_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RegisterGraphRequest
GRAPH_DEF_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MetaGraphDef
GRAPH_HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.DeregisterGraphRequest
GRAPH_HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RegisterGraphResponse
GRAPH_HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunGraphRequest
GRAPH_INPUT_NODE_INFO_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferInfo
GRAPH_INPUT_NODE_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RemoteFusedGraphExecuteInfo
GRAPH_KEY_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.GetStepSequenceRequest
GRAPH_KEY_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.StepSequence
GRAPH_OP_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ApiDef
GRAPH_OPTIONS_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RegisterGraphRequest
GRAPH_OPTIONS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ConfigProto
GRAPH_OUTPUT_NODE_INFO_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferInfo
GRAPH_OUTPUT_NODE_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RemoteFusedGraphExecuteInfo
GRAPH_VERSION_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CreateSessionResponse
GraphDef - org.tensorflow.framework中的类: Represents the graph of operations Protobuf type tensorflow.GraphDef
GraphDef.Builder - org.tensorflow.framework中的类: Represents the graph of operations Protobuf type tensorflow.GraphDef
GraphDefOrBuilder - org.tensorflow.framework中的接口
GraphOptions - org.tensorflow.framework中的类: Protobuf type tensorflow.GraphOptions
GraphOptions.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.GraphOptions
GraphOptionsOrBuilder - org.tensorflow.framework中的接口
GraphProtos - org.tensorflow.framework中的类
GraphTransferConstNodeInfo - org.tensorflow.framework中的类: Protobuf type tensorflow.GraphTransferConstNodeInfo
GraphTransferConstNodeInfo.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.GraphTransferConstNodeInfo
GraphTransferConstNodeInfoOrBuilder - org.tensorflow.framework中的接口
GraphTransferGraphInputNodeInfo - org.tensorflow.framework中的类: Protobuf type tensorflow.GraphTransferGraphInputNodeInfo
GraphTransferGraphInputNodeInfo.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.GraphTransferGraphInputNodeInfo
GraphTransferGraphInputNodeInfoOrBuilder - org.tensorflow.framework中的接口
GraphTransferGraphOutputNodeInfo - org.tensorflow.framework中的类: Protobuf type tensorflow.GraphTransferGraphOutputNodeInfo
GraphTransferGraphOutputNodeInfo.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.GraphTransferGraphOutputNodeInfo
GraphTransferGraphOutputNodeInfoOrBuilder - org.tensorflow.framework中的接口
GraphTransferInfo - org.tensorflow.framework中的类: Protocol buffer representing a handle to a tensorflow resource.
GraphTransferInfo.Builder - org.tensorflow.framework中的类: Protocol buffer representing a handle to a tensorflow resource.
GraphTransferInfo.Destination - org.tensorflow.framework中的枚举: Protobuf enum tensorflow.GraphTransferInfo.Destination
GraphTransferInfoOrBuilder - org.tensorflow.framework中的接口
GraphTransferInfoProto - org.tensorflow.framework中的类
GraphTransferNodeInfo - org.tensorflow.framework中的类: Protobuf type tensorflow.GraphTransferNodeInfo
GraphTransferNodeInfo.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.GraphTransferNodeInfo
GraphTransferNodeInfoOrBuilder - org.tensorflow.framework中的接口
GraphTransferNodeInput - org.tensorflow.framework中的类: Protobuf type tensorflow.GraphTransferNodeInput
GraphTransferNodeInput.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.GraphTransferNodeInput
GraphTransferNodeInputInfo - org.tensorflow.framework中的类: Protobuf type tensorflow.GraphTransferNodeInputInfo
GraphTransferNodeInputInfo.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.GraphTransferNodeInputInfo
GraphTransferNodeInputInfoOrBuilder - org.tensorflow.framework中的接口
GraphTransferNodeInputOrBuilder - org.tensorflow.framework中的接口
GraphTransferNodeOutputInfo - org.tensorflow.framework中的类: Protobuf type tensorflow.GraphTransferNodeOutputInfo
GraphTransferNodeOutputInfo.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.GraphTransferNodeOutputInfo
GraphTransferNodeOutputInfoOrBuilder - org.tensorflow.framework中的接口
GROUP_KEY_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteGroupRequest
GROUP_KEY_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteGroupResponse
GROUP_KEY_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteInstanceRequest
GROUP_SIZE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteGroupRequest
GROUP_SIZE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteGroupResponse
GROUP_SIZE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteInstanceRequest

H

HALF_VAL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorProto
HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.MakeCallableResponse
HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.ReleaseCallableRequest
HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunCallableRequest
HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryLogStep
HANDLE_TO_DECREF_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.QueueItem
handleReloadConfigRequest(ModelManagement.ReloadConfigRequest) - 类中的方法tensorflow.serving.ModelServiceGrpc.ModelServiceBlockingStub: Reloads the set of served models.
handleReloadConfigRequest(ModelManagement.ReloadConfigRequest) - 类中的方法tensorflow.serving.ModelServiceGrpc.ModelServiceFutureStub: Reloads the set of served models.
handleReloadConfigRequest(ModelManagement.ReloadConfigRequest, StreamObserver<ModelManagement.ReloadConfigResponse>) - 类中的方法tensorflow.serving.ModelServiceGrpc.ModelServiceImplBase: Reloads the set of served models.
handleReloadConfigRequest(ModelManagement.ReloadConfigRequest, StreamObserver<ModelManagement.ReloadConfigResponse>) - 类中的方法tensorflow.serving.ModelServiceGrpc.ModelServiceStub: Reloads the set of served models.
HARDWARE_TRACE_VALUE - 枚举中的静态变量org.tensorflow.framework.RunOptions.TraceLevel: HARDWARE_TRACE = 2;
HAS_CONTROL_FLOW_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RegisterGraphRequest
HAS_MINIMUM_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef.AttrDef
HAS_SINGLE_REFERENCE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AllocationDescription
hasAll() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All all = 101;
hasAll() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All all = 101;
hasAll() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicyOrBuilder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All all = 101;
hasAllocationDescription() - 类中的方法org.tensorflow.framework.TensorDescription.Builder: Information about the size and allocator used for the data .tensorflow.AllocationDescription allocation_description = 4;
hasAllocationDescription() - 类中的方法org.tensorflow.framework.TensorDescription: Information about the size and allocator used for the data .tensorflow.AllocationDescription allocation_description = 4;
hasAllocationDescription() - 接口中的方法org.tensorflow.framework.TensorDescriptionOrBuilder: Information about the size and allocator used for the data .tensorflow.AllocationDescription allocation_description = 4;
hasAllowedValues() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
hasAllowedValues() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint: A list of values that this kernel supports for this attr.
hasAllowedValues() - 接口中的方法org.tensorflow.framework.KernelDef.AttrConstraintOrBuilder: A list of values that this kernel supports for this attr.
hasAllowedValues() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: The set of allowed values.
hasAllowedValues() - 类中的方法org.tensorflow.framework.OpDef.AttrDef: The set of allowed values.
hasAllowedValues() - 接口中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder: The set of allowed values.
hasAnyInfo() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
hasAnyInfo() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef: A serialized protobuf.
hasAnyInfo() - 接口中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder: A serialized protobuf.
hasAnyList() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
hasAnyList() - 类中的方法org.tensorflow.framework.CollectionDef: .tensorflow.CollectionDef.AnyList any_list = 5;
hasAnyList() - 接口中的方法org.tensorflow.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.AnyList any_list = 5;
hasAudio() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
hasAudio() - 类中的方法org.tensorflow.framework.Summary.Value: .tensorflow.Summary.Audio audio = 6;
hasAudio() - 接口中的方法org.tensorflow.framework.Summary.ValueOrBuilder: .tensorflow.Summary.Audio audio = 6;
hasAutoParallel() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
hasAutoParallel() - 类中的方法org.tensorflow.framework.RewriterConfig: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
hasAutoParallel() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
hasBytesList() - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
hasBytesList() - 类中的方法org.tensorflow.example.Feature: .tensorflow.BytesList bytes_list = 1;
hasBytesList() - 接口中的方法org.tensorflow.example.FeatureOrBuilder: .tensorflow.BytesList bytes_list = 1;
hasBytesList() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
hasBytesList() - 类中的方法org.tensorflow.framework.CollectionDef: .tensorflow.CollectionDef.BytesList bytes_list = 2;
hasBytesList() - 接口中的方法org.tensorflow.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
hasClassificationResult() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.ClassificationResult classification_result = 2;
hasClassificationResult() - 类中的方法tensorflow.serving.Inference.InferenceResult: .tensorflow.serving.ClassificationResult classification_result = 2;
hasClassificationResult() - 接口中的方法tensorflow.serving.Inference.InferenceResultOrBuilder: .tensorflow.serving.ClassificationResult classification_result = 2;
hasClassifyLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.ClassifyLog classify_log = 2;
hasClassifyLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog: .tensorflow.serving.ClassifyLog classify_log = 2;
hasClassifyLog() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder: .tensorflow.serving.ClassifyLog classify_log = 2;
hasClientLocality() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional information on client-side device locality.
hasClientLocality() - 类中的方法org.tensorflow.distruntime.RecvBufRequest: Optional information on client-side device locality.
hasClientLocality() - 接口中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder: Optional information on client-side device locality.
hasClientLocality() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information on client-side device locality.
hasClientLocality() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest: Optional information on client-side device locality.
hasClientLocality() - 接口中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder: Optional information on client-side device locality.
hasCluster() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The cluster of which this server is a member.
hasCluster() - 类中的方法org.tensorflow.distruntime.ServerDef: The cluster of which this server is a member.
hasCluster() - 接口中的方法org.tensorflow.distruntime.ServerDefOrBuilder: The cluster of which this server is a member.
hasClusterDef() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Optional list of all workers to use in this session.
hasClusterDef() - 类中的方法org.tensorflow.framework.ConfigProto: Optional list of all workers to use in this session.
hasClusterDef() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: Optional list of all workers to use in this session.
hasCondCtxt() - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
hasCondCtxt() - 类中的方法org.tensorflow.framework.ControlFlowContextDef: .tensorflow.CondContextDef cond_ctxt = 1;
hasCondCtxt() - 接口中的方法org.tensorflow.framework.ControlFlowContextDefOrBuilder: .tensorflow.CondContextDef cond_ctxt = 1;
hasConfig() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder: Configuration options.
hasConfig() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest: Configuration options.
hasConfig() - 接口中的方法org.tensorflow.distruntime.CreateSessionRequestOrBuilder: Configuration options.
hasConfig() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder: .tensorflow.serving.ModelServerConfig config = 1;
hasConfig() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest: .tensorflow.serving.ModelServerConfig config = 1;
hasConfig() - 接口中的方法tensorflow.serving.ModelManagement.ReloadConfigRequestOrBuilder: .tensorflow.serving.ModelServerConfig config = 1;
hasContext() - 类中的方法org.tensorflow.example.SequenceExample.Builder: .tensorflow.Features context = 1;
hasContext() - 类中的方法org.tensorflow.example.SequenceExample: .tensorflow.Features context = 1;
hasContext() - 接口中的方法org.tensorflow.example.SequenceExampleOrBuilder: .tensorflow.Features context = 1;
hasContext() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: .tensorflow.Example context = 2;
hasContext() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext: .tensorflow.Example context = 2;
hasContext() - 接口中的方法tensorflow.serving.InputOuterClass.ExampleListWithContextOrBuilder: .tensorflow.Example context = 2;
hasCooSparse() - 类中的方法org.tensorflow.framework.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
hasCooSparse() - 类中的方法org.tensorflow.framework.TensorInfo: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
hasCooSparse() - 接口中的方法org.tensorflow.framework.TensorInfoOrBuilder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
hasCostGraph() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: .tensorflow.CostGraphDef cost_graph = 3;
hasCostGraph() - 类中的方法org.tensorflow.distruntime.RunGraphResponse: .tensorflow.CostGraphDef cost_graph = 3;
hasCostGraph() - 接口中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder: .tensorflow.CostGraphDef cost_graph = 3;
hasCostGraph() - 类中的方法org.tensorflow.framework.RunMetadata.Builder: The cost graph for the computation defined by the run call.
hasCostGraph() - 类中的方法org.tensorflow.framework.RunMetadata: The cost graph for the computation defined by the run call.
hasCostGraph() - 接口中的方法org.tensorflow.framework.RunMetadataOrBuilder: The cost graph for the computation defined by the run call.
hasCustomModelConfig() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder: .google.protobuf.Any custom_model_config = 2;
hasCustomModelConfig() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig: .google.protobuf.Any custom_model_config = 2;
hasCustomModelConfig() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfigOrBuilder: .google.protobuf.Any custom_model_config = 2;
hasDebugOptions() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Field(s) used by TensorFlow Debugger (tfdbg).
hasDebugOptions() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest: Field(s) used by TensorFlow Debugger (tfdbg).
hasDebugOptions() - 接口中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder: Field(s) used by TensorFlow Debugger (tfdbg).
hasDebugOptions() - 类中的方法org.tensorflow.framework.RunOptions.Builder: EXPERIMENTAL.
hasDebugOptions() - 类中的方法org.tensorflow.framework.RunOptions: EXPERIMENTAL.
hasDebugOptions() - 接口中的方法org.tensorflow.framework.RunOptionsOrBuilder: EXPERIMENTAL.
hasDefaultSessionConfig() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The default configuration for sessions that run on this server.
hasDefaultSessionConfig() - 类中的方法org.tensorflow.distruntime.ServerDef: The default configuration for sessions that run on this server.
hasDefaultSessionConfig() - 接口中的方法org.tensorflow.distruntime.ServerDefOrBuilder: The default configuration for sessions that run on this server.
hasDefaultValue() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
hasDefaultValue() - 类中的方法org.tensorflow.example.FixedLenFeatureProto: .tensorflow.TensorProto default_value = 3;
hasDefaultValue() - 接口中的方法org.tensorflow.example.FixedLenFeatureProtoOrBuilder: .tensorflow.TensorProto default_value = 3;
hasDefaultValue() - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
hasDefaultValue() - 类中的方法org.tensorflow.framework.ApiDef.Attr: Specify a new default value to use for this attr.
hasDefaultValue() - 接口中的方法org.tensorflow.framework.ApiDef.AttrOrBuilder: Specify a new default value to use for this attr.
hasDefaultValue() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
hasDefaultValue() - 类中的方法org.tensorflow.framework.OpDef.AttrDef: A reasonable default for this attribute if the user does not supply a value.
hasDefaultValue() - 接口中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder: A reasonable default for this attribute if the user does not supply a value.
hasDeprecation() - 类中的方法org.tensorflow.framework.OpDef.Builder: Optional deprecation based on GraphDef versions.
hasDeprecation() - 类中的方法org.tensorflow.framework.OpDef: Optional deprecation based on GraphDef versions.
hasDeprecation() - 接口中的方法org.tensorflow.framework.OpDefOrBuilder: Optional deprecation based on GraphDef versions.
hasExampleList() - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder: .tensorflow.serving.ExampleList example_list = 1 [lazy = true];
hasExampleList() - 类中的方法tensorflow.serving.InputOuterClass.Input: .tensorflow.serving.ExampleList example_list = 1 [lazy = true];
hasExampleList() - 接口中的方法tensorflow.serving.InputOuterClass.InputOrBuilder: .tensorflow.serving.ExampleList example_list = 1 [lazy = true];
hasExampleList() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder: .tensorflow.serving.internal.SerializedExampleList example_list = 1;
hasExampleList() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput: .tensorflow.serving.internal.SerializedExampleList example_list = 1;
hasExampleList() - 接口中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInputOrBuilder: .tensorflow.serving.internal.SerializedExampleList example_list = 1;
hasExampleListWithContext() - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder: .tensorflow.serving.ExampleListWithContext example_list_with_context = 2 [lazy = true];
hasExampleListWithContext() - 类中的方法tensorflow.serving.InputOuterClass.Input: .tensorflow.serving.ExampleListWithContext example_list_with_context = 2 [lazy = true];
hasExampleListWithContext() - 接口中的方法tensorflow.serving.InputOuterClass.InputOrBuilder: .tensorflow.serving.ExampleListWithContext example_list_with_context = 2 [lazy = true];
hasExampleListWithContext() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder: .tensorflow.serving.internal.SerializedExampleListWithContext example_list_with_context = 2;
hasExampleListWithContext() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput: .tensorflow.serving.internal.SerializedExampleListWithContext example_list_with_context = 2;
hasExampleListWithContext() - 接口中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInputOrBuilder: .tensorflow.serving.internal.SerializedExampleListWithContext example_list_with_context = 2;
hasExecOpts() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Options for this step.
hasExecOpts() - 类中的方法org.tensorflow.distruntime.RunGraphRequest: Options for this step.
hasExecOpts() - 接口中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder: Options for this step.
hasExperimental() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
hasExperimental() - 类中的方法org.tensorflow.framework.ConfigProto: .tensorflow.ConfigProto.Experimental experimental = 16;
hasExperimental() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: .tensorflow.ConfigProto.Experimental experimental = 16;
hasExperimental() - 类中的方法org.tensorflow.framework.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
hasExperimental() - 类中的方法org.tensorflow.framework.GPUOptions: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
hasExperimental() - 接口中的方法org.tensorflow.framework.GPUOptionsOrBuilder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
hasExperimental() - 类中的方法org.tensorflow.framework.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
hasExperimental() - 类中的方法org.tensorflow.framework.RunOptions: .tensorflow.RunOptions.Experimental experimental = 8;
hasExperimental() - 接口中的方法org.tensorflow.framework.RunOptionsOrBuilder: .tensorflow.RunOptions.Experimental experimental = 8;
hasFeatureLists() - 类中的方法org.tensorflow.example.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
hasFeatureLists() - 类中的方法org.tensorflow.example.SequenceExample: .tensorflow.FeatureLists feature_lists = 2;
hasFeatureLists() - 接口中的方法org.tensorflow.example.SequenceExampleOrBuilder: .tensorflow.FeatureLists feature_lists = 2;
hasFeatures() - 类中的方法org.tensorflow.example.Example.Builder: .tensorflow.Features features = 1;
hasFeatures() - 类中的方法org.tensorflow.example.Example: .tensorflow.Features features = 1;
hasFeatures() - 接口中的方法org.tensorflow.example.ExampleOrBuilder: .tensorflow.Features features = 1;
hasFixedLenFeature() - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
hasFixedLenFeature() - 类中的方法org.tensorflow.example.FeatureConfiguration: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
hasFixedLenFeature() - 接口中的方法org.tensorflow.example.FeatureConfigurationOrBuilder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
hasFloatList() - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.FloatList float_list = 2;
hasFloatList() - 类中的方法org.tensorflow.example.Feature: .tensorflow.FloatList float_list = 2;
hasFloatList() - 接口中的方法org.tensorflow.example.FeatureOrBuilder: .tensorflow.FloatList float_list = 2;
hasFloatList() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
hasFloatList() - 类中的方法org.tensorflow.framework.CollectionDef: .tensorflow.CollectionDef.FloatList float_list = 4;
hasFloatList() - 接口中的方法org.tensorflow.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.FloatList float_list = 4;
hasFunc() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
hasFunc() - 类中的方法org.tensorflow.framework.AttrValue: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
hasFunc() - 接口中的方法org.tensorflow.framework.AttrValueOrBuilder: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
hasFunctionDef() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder: .tensorflow.FunctionDef function_def = 2;
hasFunctionDef() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest: .tensorflow.FunctionDef function_def = 2;
hasFunctionDef() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequestOrBuilder: .tensorflow.FunctionDef function_def = 2;
hasGpuOptions() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply to all GPUs.
hasGpuOptions() - 类中的方法org.tensorflow.framework.ConfigProto: Options that apply to all GPUs.
hasGpuOptions() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: Options that apply to all GPUs.
hasGraphDef() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder: The initial graph definition.
hasGraphDef() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest: The initial graph definition.
hasGraphDef() - 接口中的方法org.tensorflow.distruntime.CreateSessionRequestOrBuilder: The initial graph definition.
hasGraphDef() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder: REQUIRED: The nodes to be added to the session's graph.
hasGraphDef() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest: REQUIRED: The nodes to be added to the session's graph.
hasGraphDef() - 接口中的方法org.tensorflow.distruntime.ExtendSessionRequestOrBuilder: REQUIRED: The nodes to be added to the session's graph.
hasGraphDef() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: "graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.
hasGraphDef() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest: "graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.
hasGraphDef() - 接口中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder: "graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.
hasGraphDef() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: GraphDef.
hasGraphDef() - 类中的方法org.tensorflow.framework.MetaGraphDef: GraphDef.
hasGraphDef() - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: GraphDef.
hasGraphOptions() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Configuration options for the session in which this graph was created.
hasGraphOptions() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest: Configuration options for the session in which this graph was created.
hasGraphOptions() - 接口中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder: Configuration options for the session in which this graph was created.
hasGraphOptions() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply to all graphs.
hasGraphOptions() - 类中的方法org.tensorflow.framework.ConfigProto: Options that apply to all graphs.
hasGraphOptions() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: Options that apply to all graphs.
HASH_CODE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ResourceHandleProto
hasHandleToDecref() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder: .tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
hasHandleToDecref() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem: .tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
hasHandleToDecref() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder: .tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
hashCode() - 类中的方法org.tensorflow.distruntime.CleanupAllRequest
hashCode() - 类中的方法org.tensorflow.distruntime.CleanupAllResponse
hashCode() - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest
hashCode() - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse
hashCode() - 类中的方法org.tensorflow.distruntime.CloseSessionRequest
hashCode() - 类中的方法org.tensorflow.distruntime.CloseSessionResponse
hashCode() - 类中的方法org.tensorflow.distruntime.ClusterDef
hashCode() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest
hashCode() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse
hashCode() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest
hashCode() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse
hashCode() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest
hashCode() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse
hashCode() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest
hashCode() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse
hashCode() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
hashCode() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
hashCode() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest
hashCode() - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse
hashCode() - 类中的方法org.tensorflow.distruntime.ExecutorOpts
hashCode() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest
hashCode() - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse
hashCode() - 类中的方法org.tensorflow.distruntime.GetStatusRequest
hashCode() - 类中的方法org.tensorflow.distruntime.GetStatusResponse
hashCode() - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest
hashCode() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse
hashCode() - 类中的方法org.tensorflow.distruntime.JobDef
hashCode() - 类中的方法org.tensorflow.distruntime.LabeledStepStats
hashCode() - 类中的方法org.tensorflow.distruntime.ListDevicesRequest
hashCode() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse
hashCode() - 类中的方法org.tensorflow.distruntime.LoggingRequest
hashCode() - 类中的方法org.tensorflow.distruntime.LoggingResponse
hashCode() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest
hashCode() - 类中的方法org.tensorflow.distruntime.MakeCallableResponse
hashCode() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest
hashCode() - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse
hashCode() - 类中的方法org.tensorflow.distruntime.RecvBufRequest
hashCode() - 类中的方法org.tensorflow.distruntime.RecvBufResponse
hashCode() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest
hashCode() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse
hashCode() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest
hashCode() - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse
hashCode() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest
hashCode() - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse
hashCode() - 类中的方法org.tensorflow.distruntime.ResetRequest
hashCode() - 类中的方法org.tensorflow.distruntime.ResetResponse
hashCode() - 类中的方法org.tensorflow.distruntime.RunCallableRequest
hashCode() - 类中的方法org.tensorflow.distruntime.RunCallableResponse
hashCode() - 类中的方法org.tensorflow.distruntime.RunGraphRequest
hashCode() - 类中的方法org.tensorflow.distruntime.RunGraphResponse
hashCode() - 类中的方法org.tensorflow.distruntime.RunStepRequest
hashCode() - 类中的方法org.tensorflow.distruntime.RunStepResponse
hashCode() - 类中的方法org.tensorflow.distruntime.ServerDef
hashCode() - 类中的方法org.tensorflow.distruntime.StepSequence
hashCode() - 类中的方法org.tensorflow.distruntime.TraceOpts
hashCode() - 类中的方法org.tensorflow.distruntime.TracingRequest
hashCode() - 类中的方法org.tensorflow.distruntime.TracingResponse
hashCode() - 类中的方法org.tensorflow.example.BytesList
hashCode() - 类中的方法org.tensorflow.example.Example
hashCode() - 类中的方法org.tensorflow.example.ExampleParserConfiguration
hashCode() - 类中的方法org.tensorflow.example.Feature
hashCode() - 类中的方法org.tensorflow.example.FeatureConfiguration
hashCode() - 类中的方法org.tensorflow.example.FeatureList
hashCode() - 类中的方法org.tensorflow.example.FeatureLists
hashCode() - 类中的方法org.tensorflow.example.Features
hashCode() - 类中的方法org.tensorflow.example.FixedLenFeatureProto
hashCode() - 类中的方法org.tensorflow.example.FloatList
hashCode() - 类中的方法org.tensorflow.example.Int64List
hashCode() - 类中的方法org.tensorflow.example.SequenceExample
hashCode() - 类中的方法org.tensorflow.example.VarLenFeatureProto
hashCode() - 类中的方法org.tensorflow.framework.AllocationDescription
hashCode() - 类中的方法org.tensorflow.framework.AllocationRecord
hashCode() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed
hashCode() - 类中的方法org.tensorflow.framework.ApiDef.Arg
hashCode() - 类中的方法org.tensorflow.framework.ApiDef.Attr
hashCode() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint
hashCode() - 类中的方法org.tensorflow.framework.ApiDef
hashCode() - 类中的方法org.tensorflow.framework.ApiDefs
hashCode() - 类中的方法org.tensorflow.framework.AssetFileDef
hashCode() - 类中的方法org.tensorflow.framework.AttrValue
hashCode() - 类中的方法org.tensorflow.framework.AttrValue.ListValue
hashCode() - 类中的方法org.tensorflow.framework.AutoParallelOptions
hashCode() - 类中的方法org.tensorflow.framework.CallableOptions
hashCode() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList
hashCode() - 类中的方法org.tensorflow.framework.CollectionDef.BytesList
hashCode() - 类中的方法org.tensorflow.framework.CollectionDef.FloatList
hashCode() - 类中的方法org.tensorflow.framework.CollectionDef
hashCode() - 类中的方法org.tensorflow.framework.CollectionDef.Int64List
hashCode() - 类中的方法org.tensorflow.framework.CollectionDef.NodeList
hashCode() - 类中的方法org.tensorflow.framework.CondContextDef
hashCode() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental
hashCode() - 类中的方法org.tensorflow.framework.ConfigProto
hashCode() - 类中的方法org.tensorflow.framework.ControlFlowContextDef
hashCode() - 类中的方法org.tensorflow.framework.CostGraphDef
hashCode() - 类中的方法org.tensorflow.framework.CostGraphDef.Node
hashCode() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
hashCode() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
hashCode() - 类中的方法org.tensorflow.framework.CriticalSectionDef
hashCode() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef
hashCode() - 类中的方法org.tensorflow.framework.DebuggedSourceFile
hashCode() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles
hashCode() - 类中的方法org.tensorflow.framework.DebugOptions
hashCode() - 类中的方法org.tensorflow.framework.DebugTensorWatch
hashCode() - 类中的方法org.tensorflow.framework.DeviceAttributes
hashCode() - 类中的方法org.tensorflow.framework.DeviceLocality
hashCode() - 类中的方法org.tensorflow.framework.DeviceStepStats
hashCode() - 类中的方法org.tensorflow.framework.FunctionDef
hashCode() - 类中的方法org.tensorflow.framework.FunctionDefLibrary
hashCode() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental
hashCode() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
hashCode() - 类中的方法org.tensorflow.framework.GPUOptions
hashCode() - 类中的方法org.tensorflow.framework.GradientDef
hashCode() - 类中的方法org.tensorflow.framework.GraphDef
hashCode() - 类中的方法org.tensorflow.framework.GraphOptions
hashCode() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
hashCode() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
hashCode() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
hashCode() - 类中的方法org.tensorflow.framework.GraphTransferInfo
hashCode() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo
hashCode() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput
hashCode() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo
hashCode() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo
hashCode() - 类中的方法org.tensorflow.framework.HistogramProto
hashCode() - 类中的方法org.tensorflow.framework.InterconnectLink
hashCode() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint
hashCode() - 类中的方法org.tensorflow.framework.KernelDef
hashCode() - 类中的方法org.tensorflow.framework.KernelList
hashCode() - 类中的方法org.tensorflow.framework.LocalLinks
hashCode() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation
hashCode() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation
hashCode() - 类中的方法org.tensorflow.framework.MemoryLogStep
hashCode() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation
hashCode() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation
hashCode() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput
hashCode() - 类中的方法org.tensorflow.framework.MemoryStats
hashCode() - 类中的方法org.tensorflow.framework.MetaGraphDef
hashCode() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
hashCode() - 类中的方法org.tensorflow.framework.NameAttrList
hashCode() - 类中的方法org.tensorflow.framework.NamedTensorProto
hashCode() - 类中的方法org.tensorflow.framework.NodeDef
hashCode() - 类中的方法org.tensorflow.framework.NodeExecStats
hashCode() - 类中的方法org.tensorflow.framework.NodeOutput
hashCode() - 类中的方法org.tensorflow.framework.OpDef.ArgDef
hashCode() - 类中的方法org.tensorflow.framework.OpDef.AttrDef
hashCode() - 类中的方法org.tensorflow.framework.OpDef
hashCode() - 类中的方法org.tensorflow.framework.OpDeprecation
hashCode() - 类中的方法org.tensorflow.framework.OpList
hashCode() - 类中的方法org.tensorflow.framework.OptimizerOptions
hashCode() - 类中的方法org.tensorflow.framework.QueueRunnerDef
hashCode() - 类中的方法org.tensorflow.framework.ReaderBaseState
hashCode() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
hashCode() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
hashCode() - 类中的方法org.tensorflow.framework.ResourceHandleProto
hashCode() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
hashCode() - 类中的方法org.tensorflow.framework.RewriterConfig
hashCode() - 类中的方法org.tensorflow.framework.RPCOptions
hashCode() - 类中的方法org.tensorflow.framework.RunMetadata
hashCode() - 类中的方法org.tensorflow.framework.RunOptions.Experimental
hashCode() - 类中的方法org.tensorflow.framework.RunOptions
hashCode() - 类中的方法org.tensorflow.framework.SavedModel
hashCode() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef
hashCode() - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions
hashCode() - 类中的方法org.tensorflow.framework.SignatureDef
hashCode() - 类中的方法org.tensorflow.framework.StepStats
hashCode() - 类中的方法org.tensorflow.framework.Summary.Audio
hashCode() - 类中的方法org.tensorflow.framework.Summary
hashCode() - 类中的方法org.tensorflow.framework.Summary.Image
hashCode() - 类中的方法org.tensorflow.framework.Summary.Value
hashCode() - 类中的方法org.tensorflow.framework.SummaryDescription
hashCode() - 类中的方法org.tensorflow.framework.SummaryMetadata
hashCode() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData
hashCode() - 类中的方法org.tensorflow.framework.TensorConnection
hashCode() - 类中的方法org.tensorflow.framework.TensorDescription
hashCode() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse
hashCode() - 类中的方法org.tensorflow.framework.TensorInfo
hashCode() - 类中的方法org.tensorflow.framework.TensorProto
hashCode() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim
hashCode() - 类中的方法org.tensorflow.framework.TensorShapeProto
hashCode() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent
hashCode() - 类中的方法org.tensorflow.framework.TensorSliceProto
hashCode() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto
hashCode() - 类中的方法org.tensorflow.framework.ValuesDef
hashCode() - 类中的方法org.tensorflow.framework.VariableDef
hashCode() - 类中的方法org.tensorflow.framework.VariantTensorDataProto
hashCode() - 类中的方法org.tensorflow.framework.VersionDef
hashCode() - 类中的方法org.tensorflow.framework.WhileContextDef
hashCode() - 类中的方法org.tensorflow.util.BundleEntryProto
hashCode() - 类中的方法org.tensorflow.util.BundleHeaderProto
hashCode() - 类中的方法org.tensorflow.util.IteratorStateMetadata
hashCode() - 类中的方法org.tensorflow.util.SaverDef
hashCode() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
hashCode() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
hashCode() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
hashCode() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
hashCode() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
hashCode() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
hashCode() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice
hashCode() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
hashCode() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
hashCode() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
hashCode() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
hashCode() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
hashCode() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
hashCode() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
hashCode() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
hashCode() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation
hashCode() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem
hashCode() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
hashCode() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
hashCode() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
hashCode() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
hashCode() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
hashCode() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
hashCode() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
hashCode() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
hashCode() - 类中的方法tensorflow.serving.Classification.Class
hashCode() - 类中的方法tensorflow.serving.Classification.ClassificationRequest
hashCode() - 类中的方法tensorflow.serving.Classification.ClassificationResponse
hashCode() - 类中的方法tensorflow.serving.Classification.ClassificationResult
hashCode() - 类中的方法tensorflow.serving.Classification.Classifications
hashCode() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
hashCode() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
hashCode() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
hashCode() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
hashCode() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
hashCode() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
hashCode() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
hashCode() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
hashCode() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
hashCode() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
hashCode() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
hashCode() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus
hashCode() - 类中的方法tensorflow.serving.Inference.InferenceResult
hashCode() - 类中的方法tensorflow.serving.Inference.InferenceTask
hashCode() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest
hashCode() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse
hashCode() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList
hashCode() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
hashCode() - 类中的方法tensorflow.serving.InputOuterClass.Input
hashCode() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
hashCode() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
hashCode() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
hashCode() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
hashCode() - 类中的方法tensorflow.serving.Logging.LogMetadata
hashCode() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
hashCode() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
hashCode() - 类中的方法tensorflow.serving.Model.ModelSpec
hashCode() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest
hashCode() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse
hashCode() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
hashCode() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
hashCode() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
hashCode() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
hashCode() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
hashCode() - 类中的方法tensorflow.serving.Predict.PredictRequest
hashCode() - 类中的方法tensorflow.serving.Predict.PredictResponse
hashCode() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
hashCode() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
hashCode() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
hashCode() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog
hashCode() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog
hashCode() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
hashCode() - 类中的方法tensorflow.serving.RegressionOuterClass.Regression
hashCode() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest
hashCode() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse
hashCode() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult
hashCode() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
hashCode() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
hashCode() - 类中的方法tensorflow.serving.SslConfig.SSLConfig
hashCode() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
hashCode() - 类中的方法tensorflow.serving.Status.StatusProto
hashCode() - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra
hasHisto() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
hasHisto() - 类中的方法org.tensorflow.framework.Summary.Value: .tensorflow.HistogramProto histo = 5;
hasHisto() - 接口中的方法org.tensorflow.framework.Summary.ValueOrBuilder: .tensorflow.HistogramProto histo = 5;
hasImage() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
hasImage() - 类中的方法org.tensorflow.framework.Summary.Value: .tensorflow.Summary.Image image = 4;
hasImage() - 接口中的方法org.tensorflow.framework.Summary.ValueOrBuilder: .tensorflow.Summary.Image image = 4;
hasInput() - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder: Input data.
hasInput() - 类中的方法tensorflow.serving.Classification.ClassificationRequest: Input data.
hasInput() - 接口中的方法tensorflow.serving.Classification.ClassificationRequestOrBuilder: Input data.
hasInput() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Input data.
hasInput() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest: Input data.
hasInput() - 接口中的方法tensorflow.serving.Inference.MultiInferenceRequestOrBuilder: Input data.
hasInput() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder: Input data.
hasInput() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest: Input data.
hasInput() - 接口中的方法tensorflow.serving.RegressionOuterClass.RegressionRequestOrBuilder: Input data.
hasInt64List() - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.Int64List int64_list = 3;
hasInt64List() - 类中的方法org.tensorflow.example.Feature: .tensorflow.Int64List int64_list = 3;
hasInt64List() - 接口中的方法org.tensorflow.example.FeatureOrBuilder: .tensorflow.Int64List int64_list = 3;
hasInt64List() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
hasInt64List() - 类中的方法org.tensorflow.framework.CollectionDef: .tensorflow.CollectionDef.Int64List int64_list = 3;
hasInt64List() - 接口中的方法org.tensorflow.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.Int64List int64_list = 3;
hasLatest() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest latest = 100;
hasLatest() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest latest = 100;
hasLatest() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicyOrBuilder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest latest = 100;
hasLibrary() - 类中的方法org.tensorflow.framework.GraphDef.Builder: EXPERIMENTAL.
hasLibrary() - 类中的方法org.tensorflow.framework.GraphDef: EXPERIMENTAL.
hasLibrary() - 接口中的方法org.tensorflow.framework.GraphDefOrBuilder: EXPERIMENTAL.
hasLinks() - 类中的方法org.tensorflow.framework.DeviceLocality.Builder: Optional local interconnect links to other devices.
hasLinks() - 类中的方法org.tensorflow.framework.DeviceLocality: Optional local interconnect links to other devices.
hasLinks() - 接口中的方法org.tensorflow.framework.DeviceLocalityOrBuilder: Optional local interconnect links to other devices.
hasList() - 类中的方法org.tensorflow.framework.AttrValue.Builder: any "list(...)"
hasList() - 类中的方法org.tensorflow.framework.AttrValue: any "list(...)"
hasList() - 接口中的方法org.tensorflow.framework.AttrValueOrBuilder: any "list(...)"
hasLocality() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
hasLocality() - 类中的方法org.tensorflow.framework.DeviceAttributes: Platform-specific data about device that may be useful for supporting efficient data transfers.
hasLocality() - 接口中的方法org.tensorflow.framework.DeviceAttributesOrBuilder: Platform-specific data about device that may be useful for supporting efficient data transfers.
hasLogCollectorConfig() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder: .tensorflow.serving.LogCollectorConfig log_collector_config = 1;
hasLogCollectorConfig() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig: .tensorflow.serving.LogCollectorConfig log_collector_config = 1;
hasLogCollectorConfig() - 接口中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfigOrBuilder: .tensorflow.serving.LogCollectorConfig log_collector_config = 1;
hasLoggingConfig() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Configures logging requests and responses, to the model.
hasLoggingConfig() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig: Configures logging requests and responses, to the model.
hasLoggingConfig() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder: Configures logging requests and responses, to the model.
hasLogMetadata() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.LogMetadata log_metadata = 1;
hasLogMetadata() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog: .tensorflow.serving.LogMetadata log_metadata = 1;
hasLogMetadata() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder: .tensorflow.serving.LogMetadata log_metadata = 1;
hasMemoryStats() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
hasMemoryStats() - 类中的方法org.tensorflow.framework.NodeExecStats: .tensorflow.MemoryStats memory_stats = 12;
hasMemoryStats() - 接口中的方法org.tensorflow.framework.NodeExecStatsOrBuilder: .tensorflow.MemoryStats memory_stats = 12;
hasMetadata() - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Returned metadata if requested in the options.
hasMetadata() - 类中的方法org.tensorflow.distruntime.RunCallableResponse: Returned metadata if requested in the options.
hasMetadata() - 接口中的方法org.tensorflow.distruntime.RunCallableResponseOrBuilder: Returned metadata if requested in the options.
hasMetadata() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: Returned metadata if requested in the options.
hasMetadata() - 类中的方法org.tensorflow.distruntime.RunStepResponse: Returned metadata if requested in the options.
hasMetadata() - 接口中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder: Returned metadata if requested in the options.
hasMetadata() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
hasMetadata() - 类中的方法org.tensorflow.framework.Summary.Value: Contains metadata on the summary value such as which plugins may use it.
hasMetadata() - 接口中的方法org.tensorflow.framework.Summary.ValueOrBuilder: Contains metadata on the summary value such as which plugins may use it.
hasMetadata() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: Returned metadata if requested in the options.
hasMetadata() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse: Returned metadata if requested in the options.
hasMetadata() - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponseOrBuilder: Returned metadata if requested in the options.
hasMetaInfoDef() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
hasMetaInfoDef() - 类中的方法org.tensorflow.framework.MetaGraphDef: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
hasMetaInfoDef() - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
hasModelConfigList() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder: .tensorflow.serving.ModelConfigList model_config_list = 1;
hasModelConfigList() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig: .tensorflow.serving.ModelConfigList model_config_list = 1;
hasModelConfigList() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfigOrBuilder: .tensorflow.serving.ModelConfigList model_config_list = 1;
hasModelSpec() - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder: Model Specification.
hasModelSpec() - 类中的方法tensorflow.serving.Classification.ClassificationRequest: Model Specification.
hasModelSpec() - 接口中的方法tensorflow.serving.Classification.ClassificationRequestOrBuilder: Model Specification.
hasModelSpec() - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder: Effective Model Specification used for classification.
hasModelSpec() - 类中的方法tensorflow.serving.Classification.ClassificationResponse: Effective Model Specification used for classification.
hasModelSpec() - 接口中的方法tensorflow.serving.Classification.ClassificationResponseOrBuilder: Effective Model Specification used for classification.
hasModelSpec() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder: Model Specification indicating which model we are querying for metadata.
hasModelSpec() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest: Model Specification indicating which model we are querying for metadata.
hasModelSpec() - 接口中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequestOrBuilder: Model Specification indicating which model we are querying for metadata.
hasModelSpec() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder: Model Specification indicating which model this metadata belongs to.
hasModelSpec() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse: Model Specification indicating which model this metadata belongs to.
hasModelSpec() - 接口中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponseOrBuilder: Model Specification indicating which model this metadata belongs to.
hasModelSpec() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder: Model Specification.
hasModelSpec() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest: Model Specification.
hasModelSpec() - 接口中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequestOrBuilder: Model Specification.
hasModelSpec() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.ModelSpec model_spec = 1;
hasModelSpec() - 类中的方法tensorflow.serving.Inference.InferenceResult: .tensorflow.serving.ModelSpec model_spec = 1;
hasModelSpec() - 接口中的方法tensorflow.serving.Inference.InferenceResultOrBuilder: .tensorflow.serving.ModelSpec model_spec = 1;
hasModelSpec() - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder: Model Specification.
hasModelSpec() - 类中的方法tensorflow.serving.Inference.InferenceTask: Model Specification.
hasModelSpec() - 接口中的方法tensorflow.serving.Inference.InferenceTaskOrBuilder: Model Specification.
hasModelSpec() - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder: .tensorflow.serving.ModelSpec model_spec = 1;
hasModelSpec() - 类中的方法tensorflow.serving.Logging.LogMetadata: .tensorflow.serving.ModelSpec model_spec = 1;
hasModelSpec() - 接口中的方法tensorflow.serving.Logging.LogMetadataOrBuilder: .tensorflow.serving.ModelSpec model_spec = 1;
hasModelSpec() - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Model Specification.
hasModelSpec() - 类中的方法tensorflow.serving.Predict.PredictRequest: Model Specification.
hasModelSpec() - 接口中的方法tensorflow.serving.Predict.PredictRequestOrBuilder: Model Specification.
hasModelSpec() - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder: Effective Model Specification used to process PredictRequest.
hasModelSpec() - 类中的方法tensorflow.serving.Predict.PredictResponse: Effective Model Specification used to process PredictRequest.
hasModelSpec() - 接口中的方法tensorflow.serving.Predict.PredictResponseOrBuilder: Effective Model Specification used to process PredictRequest.
hasModelSpec() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder: Model Specification.
hasModelSpec() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest: Model Specification.
hasModelSpec() - 接口中的方法tensorflow.serving.RegressionOuterClass.RegressionRequestOrBuilder: Model Specification.
hasModelSpec() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder: Effective Model Specification used for regression.
hasModelSpec() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse: Effective Model Specification used for regression.
hasModelSpec() - 接口中的方法tensorflow.serving.RegressionOuterClass.RegressionResponseOrBuilder: Effective Model Specification used for regression.
hasModelSpec() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Model Specification.
hasModelSpec() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest: Model Specification.
hasModelSpec() - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder: Model Specification.
hasModelVersionPolicy() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Version policy for the model indicating which version(s) of the model to load and make available for serving simultaneously.
hasModelVersionPolicy() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig: Version policy for the model indicating which version(s) of the model to load and make available for serving simultaneously.
hasModelVersionPolicy() - 接口中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder: Version policy for the model indicating which version(s) of the model to load and make available for serving simultaneously.
hasMultiInferenceLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.MultiInferenceLog multi_inference_log = 4;
hasMultiInferenceLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog: .tensorflow.serving.MultiInferenceLog multi_inference_log = 4;
hasMultiInferenceLog() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder: .tensorflow.serving.MultiInferenceLog multi_inference_log = 4;
hasNodeList() - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
hasNodeList() - 类中的方法org.tensorflow.framework.CollectionDef: .tensorflow.CollectionDef.NodeList node_list = 1;
hasNodeList() - 接口中的方法org.tensorflow.framework.CollectionDefOrBuilder: .tensorflow.CollectionDef.NodeList node_list = 1;
hasOperation() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder: .tensorflow.eager.Operation operation = 2;
hasOperation() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem: .tensorflow.eager.Operation operation = 2;
hasOperation() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder: .tensorflow.eager.Operation operation = 2;
hasOptimizerOptions() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: Options controlling how graph is optimized.
hasOptimizerOptions() - 类中的方法org.tensorflow.framework.GraphOptions: Options controlling how graph is optimized.
hasOptimizerOptions() - 接口中的方法org.tensorflow.framework.GraphOptionsOrBuilder: Options controlling how graph is optimized.
hasOptions() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder: Options that define the behavior of the created callable.
hasOptions() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest: Options that define the behavior of the created callable.
hasOptions() - 接口中的方法org.tensorflow.distruntime.MakeCallableRequestOrBuilder: Options that define the behavior of the created callable.
hasOptions() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Options for the run call.
hasOptions() - 类中的方法org.tensorflow.distruntime.RunStepRequest: Options for the run call.
hasOptions() - 接口中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder: Options for the run call.
hasOptions() - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder: .tensorflow.TraceOpts options = 1;
hasOptions() - 类中的方法org.tensorflow.distruntime.TracingRequest: .tensorflow.TraceOpts options = 1;
hasOptions() - 接口中的方法org.tensorflow.distruntime.TracingRequestOrBuilder: .tensorflow.TraceOpts options = 1;
hasOptions() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Options for the run call.
hasOptions() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest: Options for the run call.
hasOptions() - 接口中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder: Options for the run call.
hasPluginData() - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
hasPluginData() - 类中的方法org.tensorflow.framework.SummaryMetadata: Data that associates a summary with a certain plugin.
hasPluginData() - 接口中的方法org.tensorflow.framework.SummaryMetadataOrBuilder: Data that associates a summary with a certain plugin.
hasPredictLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.PredictLog predict_log = 6;
hasPredictLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog: .tensorflow.serving.PredictLog predict_log = 6;
hasPredictLog() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder: .tensorflow.serving.PredictLog predict_log = 6;
hasProperties() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
hasProperties() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice: .tensorflow.DeviceProperties properties = 2;
hasProperties() - 接口中的方法tensorflow.DevicePropertiesProtos.NamedDeviceOrBuilder: .tensorflow.DeviceProperties properties = 2;
hasRegressionResult() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.RegressionResult regression_result = 3;
hasRegressionResult() - 类中的方法tensorflow.serving.Inference.InferenceResult: .tensorflow.serving.RegressionResult regression_result = 3;
hasRegressionResult() - 接口中的方法tensorflow.serving.Inference.InferenceResultOrBuilder: .tensorflow.serving.RegressionResult regression_result = 3;
hasRegressLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.RegressLog regress_log = 3;
hasRegressLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog: .tensorflow.serving.RegressLog regress_log = 3;
hasRegressLog() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder: .tensorflow.serving.RegressLog regress_log = 3;
hasRemoteGraph() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Definition of remote graph .tensorflow.GraphDef remote_graph = 1;
hasRemoteGraph() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo: Definition of remote graph .tensorflow.GraphDef remote_graph = 1;
hasRemoteGraph() - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder: Definition of remote graph .tensorflow.GraphDef remote_graph = 1;
hasRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder: .tensorflow.serving.ClassificationRequest request = 1;
hasRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog: .tensorflow.serving.ClassificationRequest request = 1;
hasRequest() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLogOrBuilder: .tensorflow.serving.ClassificationRequest request = 1;
hasRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder: .tensorflow.serving.MultiInferenceRequest request = 1;
hasRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog: .tensorflow.serving.MultiInferenceRequest request = 1;
hasRequest() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLogOrBuilder: .tensorflow.serving.MultiInferenceRequest request = 1;
hasRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder: .tensorflow.serving.PredictRequest request = 1;
hasRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog: .tensorflow.serving.PredictRequest request = 1;
hasRequest() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictLogOrBuilder: .tensorflow.serving.PredictRequest request = 1;
hasRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder: .tensorflow.serving.RegressionRequest request = 1;
hasRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog: .tensorflow.serving.RegressionRequest request = 1;
hasRequest() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.RegressLogOrBuilder: .tensorflow.serving.RegressionRequest request = 1;
hasRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder: .tensorflow.serving.SessionRunRequest request = 1;
hasRequest() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog: .tensorflow.serving.SessionRunRequest request = 1;
hasRequest() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLogOrBuilder: .tensorflow.serving.SessionRunRequest request = 1;
hasResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder: .tensorflow.serving.ClassificationResponse response = 2;
hasResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog: .tensorflow.serving.ClassificationResponse response = 2;
hasResponse() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLogOrBuilder: .tensorflow.serving.ClassificationResponse response = 2;
hasResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder: .tensorflow.serving.MultiInferenceResponse response = 2;
hasResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog: .tensorflow.serving.MultiInferenceResponse response = 2;
hasResponse() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLogOrBuilder: .tensorflow.serving.MultiInferenceResponse response = 2;
hasResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder: .tensorflow.serving.PredictResponse response = 2;
hasResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog: .tensorflow.serving.PredictResponse response = 2;
hasResponse() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictLogOrBuilder: .tensorflow.serving.PredictResponse response = 2;
hasResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder: .tensorflow.serving.RegressionResponse response = 2;
hasResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog: .tensorflow.serving.RegressionResponse response = 2;
hasResponse() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.RegressLogOrBuilder: .tensorflow.serving.RegressionResponse response = 2;
hasResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder: .tensorflow.serving.SessionRunResponse response = 2;
hasResponse() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog: .tensorflow.serving.SessionRunResponse response = 2;
hasResponse() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLogOrBuilder: .tensorflow.serving.SessionRunResponse response = 2;
hasResult() - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder: Result of the classification.
hasResult() - 类中的方法tensorflow.serving.Classification.ClassificationResponse: Result of the classification.
hasResult() - 接口中的方法tensorflow.serving.Classification.ClassificationResponseOrBuilder: Result of the classification.
hasResult() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder: .tensorflow.serving.RegressionResult result = 1;
hasResult() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse: .tensorflow.serving.RegressionResult result = 1;
hasResult() - 接口中的方法tensorflow.serving.RegressionOuterClass.RegressionResponseOrBuilder: .tensorflow.serving.RegressionResult result = 1;
hasRewriteOptions() - 类中的方法org.tensorflow.framework.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
hasRewriteOptions() - 类中的方法org.tensorflow.framework.GraphOptions: Options that control the type and amount of graph rewriting.
hasRewriteOptions() - 接口中的方法org.tensorflow.framework.GraphOptionsOrBuilder: Options that control the type and amount of graph rewriting.
hasRpcOptions() - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
hasRpcOptions() - 类中的方法org.tensorflow.framework.ConfigProto: Options that apply when this session uses the distributed runtime.
hasRpcOptions() - 接口中的方法org.tensorflow.framework.ConfigProtoOrBuilder: Options that apply when this session uses the distributed runtime.
hasRunOptions() - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Options that will be applied to each run.
hasRunOptions() - 类中的方法org.tensorflow.framework.CallableOptions: Options that will be applied to each run.
hasRunOptions() - 接口中的方法org.tensorflow.framework.CallableOptionsOrBuilder: Options that will be applied to each run.
hasSamplingConfig() - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder: TODO(b/33279154): Add more metadata as mentioned in the bug.
hasSamplingConfig() - 类中的方法tensorflow.serving.Logging.LogMetadata: TODO(b/33279154): Add more metadata as mentioned in the bug.
hasSamplingConfig() - 接口中的方法tensorflow.serving.Logging.LogMetadataOrBuilder: TODO(b/33279154): Add more metadata as mentioned in the bug.
hasSamplingConfig() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder: .tensorflow.serving.SamplingConfig sampling_config = 2;
hasSamplingConfig() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig: .tensorflow.serving.SamplingConfig sampling_config = 2;
hasSamplingConfig() - 接口中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfigOrBuilder: .tensorflow.serving.SamplingConfig sampling_config = 2;
hasSaverDef() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: SaverDef.
hasSaverDef() - 类中的方法org.tensorflow.framework.MetaGraphDef: SaverDef.
hasSaverDef() - 接口中的方法org.tensorflow.framework.MetaGraphDefOrBuilder: SaverDef.
hasSaveSliceInfoDef() - 类中的方法org.tensorflow.framework.VariableDef.Builder: Support for saving variables as slices of a larger variable.
hasSaveSliceInfoDef() - 类中的方法org.tensorflow.framework.VariableDef: Support for saving variables as slices of a larger variable.
hasSaveSliceInfoDef() - 接口中的方法org.tensorflow.framework.VariableDefOrBuilder: Support for saving variables as slices of a larger variable.
hasScopedAllocatorOpts() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
hasScopedAllocatorOpts() - 类中的方法org.tensorflow.framework.RewriterConfig: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
hasScopedAllocatorOpts() - 接口中的方法org.tensorflow.framework.RewriterConfigOrBuilder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
hasServableVersionPolicy() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder: The policy to determines the number of versions of the servable to be served at the same time.
hasServableVersionPolicy() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor: The policy to determines the number of versions of the servable to be served at the same time.
hasServableVersionPolicy() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitorOrBuilder: The policy to determines the number of versions of the servable to be served at the same time.
hasServerDef() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder: Defines the configuration of a TensorFlow worker.
hasServerDef() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest: Defines the configuration of a TensorFlow worker.
hasServerDef() - 接口中的方法org.tensorflow.distruntime.CreateWorkerSessionRequestOrBuilder: Defines the configuration of a TensorFlow worker.
hasServerDef() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: Identifies the full cluster, and this particular worker's position within.
hasServerDef() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest: Identifies the full cluster, and this particular worker's position within.
hasServerDef() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder: Identifies the full cluster, and this particular worker's position within.
hasServerLocality() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional information on server-side device locality.
hasServerLocality() - 类中的方法org.tensorflow.distruntime.RecvBufRequest: Optional information on server-side device locality.
hasServerLocality() - 接口中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder: Optional information on server-side device locality.
hasServerLocality() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information on server-side device locality.
hasServerLocality() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest: Optional information on server-side device locality.
hasServerLocality() - 接口中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder: Optional information on server-side device locality.
hasSessionRunLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.SessionRunLog session_run_log = 5;
hasSessionRunLog() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog: .tensorflow.serving.SessionRunLog session_run_log = 5;
hasSessionRunLog() - 接口中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder: .tensorflow.serving.SessionRunLog session_run_log = 5;
hasShape() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: .tensorflow.TensorShapeProto shape = 4;
hasShape() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest: .tensorflow.TensorShapeProto shape = 4;
hasShape() - 接口中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder: .tensorflow.TensorShapeProto shape = 4;
hasShape() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - 类中的方法org.tensorflow.example.FixedLenFeatureProto: .tensorflow.TensorShapeProto shape = 2;
hasShape() - 接口中的方法org.tensorflow.example.FixedLenFeatureProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "shape" .tensorflow.TensorShapeProto shape = 7;
hasShape() - 类中的方法org.tensorflow.framework.AttrValue: "shape" .tensorflow.TensorShapeProto shape = 7;
hasShape() - 接口中的方法org.tensorflow.framework.AttrValueOrBuilder: "shape" .tensorflow.TensorShapeProto shape = 7;
hasShape() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
hasShape() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo: .tensorflow.TensorShapeProto shape = 3;
hasShape() - 接口中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder: .tensorflow.TensorShapeProto shape = 3;
hasShape() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto: .tensorflow.TensorShapeProto shape = 2;
hasShape() - 接口中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - 类中的方法org.tensorflow.framework.TensorDescription.Builder: Shape of the tensor.
hasShape() - 类中的方法org.tensorflow.framework.TensorDescription: Shape of the tensor.
hasShape() - 接口中的方法org.tensorflow.framework.TensorDescriptionOrBuilder: Shape of the tensor.
hasShape() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - 类中的方法org.tensorflow.util.BundleEntryProto: .tensorflow.TensorShapeProto shape = 2;
hasShape() - 接口中的方法org.tensorflow.util.BundleEntryProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
hasSignature() - 类中的方法org.tensorflow.framework.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
hasSignature() - 类中的方法org.tensorflow.framework.FunctionDef: The definition of the function's name, arguments, return values, attrs etc.
hasSignature() - 接口中的方法org.tensorflow.framework.FunctionDefOrBuilder: The definition of the function's name, arguments, return values, attrs etc.
hasSourceAdapterConfig() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder: The config proto for a SourceAdapter in the StoragePathSourceAdapter registry.
hasSourceAdapterConfig() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig: The config proto for a SourceAdapter in the StoragePathSourceAdapter registry.
hasSourceAdapterConfig() - 接口中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigOrBuilder: The config proto for a SourceAdapter in the StoragePathSourceAdapter registry.
hasSpecific() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific specific = 102;
hasSpecific() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific specific = 102;
hasSpecific() - 接口中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicyOrBuilder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific specific = 102;
hasStatus() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder: Model status.
hasStatus() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus: Model status.
hasStatus() - 接口中的方法tensorflow.serving.GetModelStatus.ModelVersionStatusOrBuilder: Model status.
hasStatus() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder: .tensorflow.serving.StatusProto status = 1;
hasStatus() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse: .tensorflow.serving.StatusProto status = 1;
hasStatus() - 接口中的方法tensorflow.serving.ModelManagement.ReloadConfigResponseOrBuilder: .tensorflow.serving.StatusProto status = 1;
hasStepStats() - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder: .tensorflow.StepStats step_stats = 2;
hasStepStats() - 类中的方法org.tensorflow.distruntime.LabeledStepStats: .tensorflow.StepStats step_stats = 2;
hasStepStats() - 接口中的方法org.tensorflow.distruntime.LabeledStepStatsOrBuilder: .tensorflow.StepStats step_stats = 2;
hasStepStats() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.
hasStepStats() - 类中的方法org.tensorflow.distruntime.RunGraphResponse: If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.
hasStepStats() - 接口中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder: If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.
hasStepStats() - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Statistics traced for this step.
hasStepStats() - 类中的方法org.tensorflow.framework.RunMetadata: Statistics traced for this step.
hasStepStats() - 接口中的方法org.tensorflow.framework.RunMetadataOrBuilder: Statistics traced for this step.
hasStrippedOpList() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
hasStrippedOpList() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef: A copy of the OpDefs used by the producer of this graph_def.
hasStrippedOpList() - 接口中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder: A copy of the OpDefs used by the producer of this graph_def.
hasTensor() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder: The tensor as a proto.
hasTensor() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse: The tensor as a proto.
hasTensor() - 接口中的方法org.tensorflow.distruntime.RecvTensorResponseOrBuilder: The tensor as a proto.
hasTensor() - 类中的方法org.tensorflow.framework.AttrValue.Builder: "tensor" .tensorflow.TensorProto tensor = 8;
hasTensor() - 类中的方法org.tensorflow.framework.AttrValue: "tensor" .tensorflow.TensorProto tensor = 8;
hasTensor() - 接口中的方法org.tensorflow.framework.AttrValueOrBuilder: "tensor" .tensorflow.TensorProto tensor = 8;
hasTensor() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder: Allocated tensor details.
hasTensor() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation: Allocated tensor details.
hasTensor() - 接口中的方法org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder: Allocated tensor details.
hasTensor() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder: Output tensor details.
hasTensor() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput: Output tensor details.
hasTensor() - 接口中的方法org.tensorflow.framework.MemoryLogTensorOutputOrBuilder: Output tensor details.
hasTensor() - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
hasTensor() - 类中的方法org.tensorflow.framework.NamedTensorProto: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
hasTensor() - 接口中的方法org.tensorflow.framework.NamedTensorProtoOrBuilder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
hasTensor() - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
hasTensor() - 类中的方法org.tensorflow.framework.Summary.Value: .tensorflow.TensorProto tensor = 8;
hasTensor() - 接口中的方法org.tensorflow.framework.Summary.ValueOrBuilder: .tensorflow.TensorProto tensor = 8;
hasTensorDescription() - 类中的方法org.tensorflow.framework.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
hasTensorDescription() - 类中的方法org.tensorflow.framework.NodeOutput: .tensorflow.TensorDescription tensor_description = 3;
hasTensorDescription() - 接口中的方法org.tensorflow.framework.NodeOutputOrBuilder: .tensorflow.TensorDescription tensor_description = 3;
hasTensorInfo() - 类中的方法org.tensorflow.framework.AssetFileDef.Builder: The tensor to bind the asset filename to.
hasTensorInfo() - 类中的方法org.tensorflow.framework.AssetFileDef: The tensor to bind the asset filename to.
hasTensorInfo() - 接口中的方法org.tensorflow.framework.AssetFileDefOrBuilder: The tensor to bind the asset filename to.
hasTensorShape() - 类中的方法org.tensorflow.framework.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
hasTensorShape() - 类中的方法org.tensorflow.framework.TensorInfo: The static shape should be recorded here, to the extent that it can be known in advance.
hasTensorShape() - 接口中的方法org.tensorflow.framework.TensorInfoOrBuilder: The static shape should be recorded here, to the extent that it can be known in advance.
hasTensorShape() - 类中的方法org.tensorflow.framework.TensorProto.Builder: Shape of the tensor.
hasTensorShape() - 类中的方法org.tensorflow.framework.TensorProto: Shape of the tensor.
hasTensorShape() - 接口中的方法org.tensorflow.framework.TensorProtoOrBuilder: Shape of the tensor.
hasTransportOptions() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional, implementation-specific data.
hasTransportOptions() - 类中的方法org.tensorflow.distruntime.RecvBufRequest: Optional, implementation-specific data.
hasTransportOptions() - 接口中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder: Optional, implementation-specific data.
hasTransportOptions() - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder: Optional, implementation-specific data.
hasTransportOptions() - 类中的方法org.tensorflow.distruntime.RecvBufResponse: Optional, implementation-specific data.
hasTransportOptions() - 接口中的方法org.tensorflow.distruntime.RecvBufResponseOrBuilder: Optional, implementation-specific data.
hasTransportOptions() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information needed by the RPC subsystem.
hasTransportOptions() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest: Optional information needed by the RPC subsystem.
hasTransportOptions() - 接口中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder: Optional information needed by the RPC subsystem.
hasTransportOptions() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder: Optional additional information about how to receive the tensor, e.g. in the event that `RecvTensorRequest.dma_ok` was true.
hasTransportOptions() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse: Optional additional information about how to receive the tensor, e.g. in the event that `RecvTensorRequest.dma_ok` was true.
hasTransportOptions() - 接口中的方法org.tensorflow.distruntime.RecvTensorResponseOrBuilder: Optional additional information about how to receive the tensor, e.g. in the event that `RecvTensorRequest.dma_ok` was true.
hasValuesDef() - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Values and external values in control flow context.
hasValuesDef() - 类中的方法org.tensorflow.framework.CondContextDef: Values and external values in control flow context.
hasValuesDef() - 接口中的方法org.tensorflow.framework.CondContextDefOrBuilder: Values and external values in control flow context.
hasValuesDef() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Values and external values in control flow context.
hasValuesDef() - 类中的方法org.tensorflow.framework.WhileContextDef: Values and external values in control flow context.
hasValuesDef() - 接口中的方法org.tensorflow.framework.WhileContextDefOrBuilder: Values and external values in control flow context.
hasVarLenFeature() - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
hasVarLenFeature() - 类中的方法org.tensorflow.example.FeatureConfiguration: .tensorflow.VarLenFeatureProto var_len_feature = 2;
hasVarLenFeature() - 接口中的方法org.tensorflow.example.FeatureConfigurationOrBuilder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
hasVersion() - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
hasVersion() - 类中的方法org.tensorflow.util.BundleHeaderProto: Versioning of the tensor bundle format.
hasVersion() - 接口中的方法org.tensorflow.util.BundleHeaderProtoOrBuilder: Versioning of the tensor bundle format.
hasVersion() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: Use this specific version number.
hasVersion() - 类中的方法tensorflow.serving.Model.ModelSpec: Use this specific version number.
hasVersion() - 接口中的方法tensorflow.serving.Model.ModelSpecOrBuilder: Use this specific version number.
hasVersionDef() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: This is the version for all the ops that will be enqueued by the client.
hasVersionDef() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest: This is the version for all the ops that will be enqueued by the client.
hasVersionDef() - 接口中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder: This is the version for all the ops that will be enqueued by the client.
hasVersions() - 类中的方法org.tensorflow.framework.GraphDef.Builder: Compatibility versions of the graph.
hasVersions() - 类中的方法org.tensorflow.framework.GraphDef: Compatibility versions of the graph.
hasVersions() - 接口中的方法org.tensorflow.framework.GraphDefOrBuilder: Compatibility versions of the graph.
hasWhileCtxt() - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
hasWhileCtxt() - 类中的方法org.tensorflow.framework.ControlFlowContextDef: .tensorflow.WhileContextDef while_ctxt = 2;
hasWhileCtxt() - 接口中的方法org.tensorflow.framework.ControlFlowContextDefOrBuilder: .tensorflow.WhileContextDef while_ctxt = 2;
HEIGHT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.Summary.Image
HEURISTICS_VALUE - 枚举中的静态变量org.tensorflow.framework.RewriterConfig.MemOptType: Use any combination of swapping and recomputation heuristics.
HEXAGON_VALUE - 枚举中的静态变量org.tensorflow.framework.GraphTransferInfo.Destination: HEXAGON = 1;
HIDDEN_VALUE - 枚举中的静态变量org.tensorflow.framework.ApiDef.Visibility: Hide this op by putting it into an internal namespace (or whatever is appropriate in the target language).
HISTO_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.Summary.Value
HistogramProto - org.tensorflow.framework中的类: Serialization format for histogram module in core/lib/histogram/histogram.h Protobuf type tensorflow.HistogramProto
HistogramProto.Builder - org.tensorflow.framework中的类: Serialization format for histogram module in core/lib/histogram/histogram.h Protobuf type tensorflow.HistogramProto
HistogramProtoOrBuilder - org.tensorflow.framework中的接口
HOST_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DebuggedSourceFile
HOST_MEMORY_ARG_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.KernelDef
HOST_TEMP_MEMORY_SIZE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef.Node

I

I_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AttrValue
I_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AttrValue.ListValue
ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef.Node
ID_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.Operation
IMAGE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.Summary.Value
IN_ARG_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ApiDef
INACCURATE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef.Node
INCARNATION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DeviceAttributes
INDEX_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryLogTensorOutput
INDICES_OUTPUT_TENSOR_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.VarLenFeatureProto
INDICES_TENSOR_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorInfo.CooSparse
INFER_SHAPES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphOptions
Inference - tensorflow.serving中的类
Inference.InferenceResult - tensorflow.serving中的类: Inference result, matches the type of request or is an error.
Inference.InferenceResult.Builder - tensorflow.serving中的类: Inference result, matches the type of request or is an error.
Inference.InferenceResult.ResultCase - tensorflow.serving中的枚举
Inference.InferenceResultOrBuilder - tensorflow.serving中的接口
Inference.InferenceTask - tensorflow.serving中的类: Inference request such as classification, regression, etc...
Inference.InferenceTask.Builder - tensorflow.serving中的类: Inference request such as classification, regression, etc...
Inference.InferenceTaskOrBuilder - tensorflow.serving中的接口
Inference.MultiInferenceRequest - tensorflow.serving中的类: Inference request containing one or more requests.
Inference.MultiInferenceRequest.Builder - tensorflow.serving中的类: Inference request containing one or more requests.
Inference.MultiInferenceRequestOrBuilder - tensorflow.serving中的接口
Inference.MultiInferenceResponse - tensorflow.serving中的类: Inference request containing one or more responses.
Inference.MultiInferenceResponse.Builder - tensorflow.serving中的类: Inference request containing one or more responses.
Inference.MultiInferenceResponseOrBuilder - tensorflow.serving中的接口
INITIAL_VALUE_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.VariableDef
INITIALIZER_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.VariableDef
INPUT_ARG_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef
INPUT_COUNT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferNodeInfo
INPUT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeDef
INPUT_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Classification.ClassificationRequest
INPUT_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Inference.MultiInferenceRequest
INPUT_FIELD_NUMBER - 类中的静态变量tensorflow.serving.RegressionOuterClass.RegressionRequest
INPUT_INFO_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef.Node
InputOuterClass - tensorflow.serving中的类
InputOuterClass.ExampleList - tensorflow.serving中的类: Specifies one or more fully independent input Examples.
InputOuterClass.ExampleList.Builder - tensorflow.serving中的类: Specifies one or more fully independent input Examples.
InputOuterClass.ExampleListOrBuilder - tensorflow.serving中的接口
InputOuterClass.ExampleListWithContext - tensorflow.serving中的类: Specifies one or more independent input Examples, with a common context Example.
InputOuterClass.ExampleListWithContext.Builder - tensorflow.serving中的类: Specifies one or more independent input Examples, with a common context Example.
InputOuterClass.ExampleListWithContextOrBuilder - tensorflow.serving中的接口
InputOuterClass.Input - tensorflow.serving中的类: Protobuf type tensorflow.serving.Input
InputOuterClass.Input.Builder - tensorflow.serving中的类: Protobuf type tensorflow.serving.Input
InputOuterClass.Input.KindCase - tensorflow.serving中的枚举
InputOuterClass.InputOrBuilder - tensorflow.serving中的接口
INPUTS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.SignatureDef
INPUTS_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.Operation
INPUTS_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Predict.PredictRequest
INSTANCE_KEY_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteInstanceRequest
INSTANCE_KEY_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteInstanceResponse
INT64_LIST_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.Feature
INT64_LIST_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CollectionDef
INT64_VAL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorProto
Int64List - org.tensorflow.example中的类: Protobuf type tensorflow.Int64List
Int64List.Builder - org.tensorflow.example中的类: Protobuf type tensorflow.Int64List
Int64ListOrBuilder - org.tensorflow.example中的接口
INT_VAL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorProto
INTER_OP_PARALLELISM_THREADS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ConfigProto
INTER_OP_THREAD_POOL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RunOptions
InterconnectLink - org.tensorflow.framework中的类: Protobuf type tensorflow.InterconnectLink
InterconnectLink.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.InterconnectLink
InterconnectLinkOrBuilder - org.tensorflow.framework中的接口
INTERNAL_VALUE - 枚举中的静态变量org.tensorflow.framework.Code: Internal errors.
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CleanupAllRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CleanupAllResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CleanupAllResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CloseSessionRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CloseSessionResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CloseSessionResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.ClusterDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.ExecutorOpts
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.GetStatusRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.GetStatusRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.GetStatusResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.JobDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.JobDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.LabeledStepStats
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.ListDevicesRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.LoggingRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.LoggingResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.MakeCallableResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RecvBufRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RecvBufResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.ResetRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.ResetResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.ResetResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RunCallableRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RunCallableResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RunGraphRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RunGraphResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RunStepRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.RunStepResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.ServerDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.StepSequence.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.StepSequence
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.TraceOpts
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.TracingRequest
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.TracingResponse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.distruntime.TracingResponse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.BytesList.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.BytesList
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.Example.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.Example
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.ExampleParserConfiguration
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.Feature.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.Feature
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.FeatureConfiguration
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.FeatureList.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.FeatureList
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.FeatureLists.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.FeatureLists
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.Features.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.Features
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.FixedLenFeatureProto
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.FloatList.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.FloatList
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.Int64List.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.Int64List
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.SequenceExample.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.SequenceExample
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.example.VarLenFeatureProto
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.AllocationDescription.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.AllocationDescription
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.AllocationRecord.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.AllocationRecord
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ApiDef.Arg
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ApiDef.Attr
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ApiDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ApiDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ApiDefs.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ApiDefs
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.AssetFileDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.AssetFileDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.AttrValue.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.AttrValue
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.AttrValue.ListValue
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.AutoParallelOptions
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CallableOptions.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CallableOptions
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CollectionDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CollectionDef.BytesList
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CollectionDef.FloatList
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CollectionDef.Int64List
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CollectionDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CollectionDef.NodeList
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CondContextDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CondContextDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ConfigProto.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ConfigProto
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ControlFlowContextDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CostGraphDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CostGraphDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CostGraphDef.Node
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CriticalSectionDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.DebuggedSourceFile
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.DebugOptions.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.DebugOptions
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.DebugTensorWatch
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.DeviceAttributes
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.DeviceLocality.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.DeviceLocality
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.DeviceStepStats
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.FunctionDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.FunctionDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.FunctionDefLibrary
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GPUOptions.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GPUOptions
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GradientDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GradientDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GraphDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GraphDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GraphOptions.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GraphOptions
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GraphTransferInfo
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.HistogramProto.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.HistogramProto
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.InterconnectLink.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.InterconnectLink
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.KernelDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.KernelDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.KernelList.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.KernelList
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.LocalLinks.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.LocalLinks
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.MemoryLogStep
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.MemoryStats.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.MemoryStats
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.MetaGraphDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.NameAttrList.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.NameAttrList
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.NamedTensorProto
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.NodeDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.NodeDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.NodeExecStats
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.NodeOutput.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.NodeOutput
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.OpDef.ArgDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.OpDef.AttrDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.OpDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.OpDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.OpDeprecation.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.OpDeprecation
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.OpList.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.OpList
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.OptimizerOptions
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.QueueRunnerDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ReaderBaseState
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ResourceHandleProto
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.RewriterConfig
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.RPCOptions.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.RPCOptions
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.RunMetadata.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.RunMetadata
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.RunOptions.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.RunOptions.Experimental.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.RunOptions.Experimental
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.RunOptions
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.SavedModel.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.SavedModel
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.SignatureDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.SignatureDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.StepStats.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.StepStats
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.Summary.Audio.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.Summary.Audio
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.Summary.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.Summary.Image.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.Summary.Image
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.Summary
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.Summary.Value.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.Summary.Value
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.SummaryDescription.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.SummaryDescription
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.SummaryMetadata
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.TensorConnection.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.TensorConnection
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.TensorDescription.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.TensorDescription
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.TensorInfo.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.TensorInfo
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.TensorProto.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.TensorProto
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.TensorShapeProto
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.TensorSliceProto
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ValuesDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.ValuesDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.VariableDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.VariableDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.VariantTensorDataProto
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.VersionDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.VersionDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.framework.WhileContextDef
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.util.BundleEntryProto
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.util.BundleHeaderProto
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.util.IteratorStateMetadata
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.util.SaverDef.Builder
internalGetFieldAccessorTable() - 类中的方法org.tensorflow.util.SaverDef
internalGetFieldAccessorTable() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
internalGetFieldAccessorTable() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
internalGetFieldAccessorTable() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
internalGetFieldAccessorTable() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
internalGetFieldAccessorTable() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
internalGetFieldAccessorTable() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
internalGetFieldAccessorTable() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Classification.Class.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Classification.Class
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Classification.ClassificationRequest
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Classification.ClassificationResponse
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Classification.ClassificationResult
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Classification.Classifications.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Classification.Classifications
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Inference.InferenceResult
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Inference.InferenceTask
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.InputOuterClass.Input
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Logging.LogMetadata
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Model.ModelSpec
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Predict.PredictRequest
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Predict.PredictResponse
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.RegressionOuterClass.Regression
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.SslConfig.SSLConfig
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Status.StatusProto.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.serving.Status.StatusProto
internalGetFieldAccessorTable() - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder
internalGetFieldAccessorTable() - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra
internalGetMapField(int) - 类中的方法org.tensorflow.distruntime.JobDef.Builder
internalGetMapField(int) - 类中的方法org.tensorflow.distruntime.JobDef
internalGetMapField(int) - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
internalGetMapField(int) - 类中的方法org.tensorflow.example.ExampleParserConfiguration
internalGetMapField(int) - 类中的方法org.tensorflow.example.FeatureLists.Builder
internalGetMapField(int) - 类中的方法org.tensorflow.example.FeatureLists
internalGetMapField(int) - 类中的方法org.tensorflow.example.Features.Builder
internalGetMapField(int) - 类中的方法org.tensorflow.example.Features
internalGetMapField(int) - 类中的方法org.tensorflow.framework.CallableOptions.Builder
internalGetMapField(int) - 类中的方法org.tensorflow.framework.CallableOptions
internalGetMapField(int) - 类中的方法org.tensorflow.framework.ConfigProto.Builder
internalGetMapField(int) - 类中的方法org.tensorflow.framework.ConfigProto
internalGetMapField(int) - 类中的方法org.tensorflow.framework.FunctionDef.Builder
internalGetMapField(int) - 类中的方法org.tensorflow.framework.FunctionDef
internalGetMapField(int) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
internalGetMapField(int) - 类中的方法org.tensorflow.framework.MetaGraphDef
internalGetMapField(int) - 类中的方法org.tensorflow.framework.NameAttrList.Builder
internalGetMapField(int) - 类中的方法org.tensorflow.framework.NameAttrList
internalGetMapField(int) - 类中的方法org.tensorflow.framework.NodeDef.Builder
internalGetMapField(int) - 类中的方法org.tensorflow.framework.NodeDef
internalGetMapField(int) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
internalGetMapField(int) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
internalGetMapField(int) - 类中的方法org.tensorflow.framework.SignatureDef.Builder
internalGetMapField(int) - 类中的方法org.tensorflow.framework.SignatureDef
internalGetMapField(int) - 类中的方法org.tensorflow.framework.ValuesDef.Builder
internalGetMapField(int) - 类中的方法org.tensorflow.framework.ValuesDef
internalGetMapField(int) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
internalGetMapField(int) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
internalGetMapField(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
internalGetMapField(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation
internalGetMapField(int) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
internalGetMapField(int) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
internalGetMapField(int) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
internalGetMapField(int) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
internalGetMapField(int) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
internalGetMapField(int) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
internalGetMapField(int) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder
internalGetMapField(int) - 类中的方法tensorflow.serving.Predict.PredictRequest
internalGetMapField(int) - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder
internalGetMapField(int) - 类中的方法tensorflow.serving.Predict.PredictResponse
internalGetMutableMapField(int) - 类中的方法org.tensorflow.distruntime.JobDef.Builder
internalGetMutableMapField(int) - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
internalGetMutableMapField(int) - 类中的方法org.tensorflow.example.FeatureLists.Builder
internalGetMutableMapField(int) - 类中的方法org.tensorflow.example.Features.Builder
internalGetMutableMapField(int) - 类中的方法org.tensorflow.framework.CallableOptions.Builder
internalGetMutableMapField(int) - 类中的方法org.tensorflow.framework.ConfigProto.Builder
internalGetMutableMapField(int) - 类中的方法org.tensorflow.framework.FunctionDef.Builder
internalGetMutableMapField(int) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
internalGetMutableMapField(int) - 类中的方法org.tensorflow.framework.NameAttrList.Builder
internalGetMutableMapField(int) - 类中的方法org.tensorflow.framework.NodeDef.Builder
internalGetMutableMapField(int) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
internalGetMutableMapField(int) - 类中的方法org.tensorflow.framework.SignatureDef.Builder
internalGetMutableMapField(int) - 类中的方法org.tensorflow.framework.ValuesDef.Builder
internalGetMutableMapField(int) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
internalGetMutableMapField(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
internalGetMutableMapField(int) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
internalGetMutableMapField(int) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
internalGetMutableMapField(int) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
internalGetMutableMapField(int) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder
internalGetMutableMapField(int) - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder
internalGetValueMap() - 枚举中的静态方法org.tensorflow.framework.ApiDef.Visibility
internalGetValueMap() - 枚举中的静态方法org.tensorflow.framework.Code
internalGetValueMap() - 枚举中的静态方法org.tensorflow.framework.DataType
internalGetValueMap() - 枚举中的静态方法org.tensorflow.framework.GraphTransferInfo.Destination
internalGetValueMap() - 枚举中的静态方法org.tensorflow.framework.OptimizerOptions.GlobalJitLevel
internalGetValueMap() - 枚举中的静态方法org.tensorflow.framework.OptimizerOptions.Level
internalGetValueMap() - 枚举中的静态方法org.tensorflow.framework.RewriterConfig.MemOptType
internalGetValueMap() - 枚举中的静态方法org.tensorflow.framework.RewriterConfig.NumIterationsType
internalGetValueMap() - 枚举中的静态方法org.tensorflow.framework.RewriterConfig.Toggle
internalGetValueMap() - 枚举中的静态方法org.tensorflow.framework.RunOptions.TraceLevel
internalGetValueMap() - 枚举中的静态方法org.tensorflow.util.BundleHeaderProto.Endianness
internalGetValueMap() - 枚举中的静态方法org.tensorflow.util.SaverDef.CheckpointFormatVersion
internalGetValueMap() - 枚举中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus.State
internalGetValueMap() - 枚举中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelType
INTRA_OP_PARALLELISM_THREADS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ConfigProto
INVALID_ARGUMENT_VALUE - 枚举中的静态变量org.tensorflow.framework.Code: Client specified an invalid argument.
IS_AGGREGATE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef
IS_COMMUTATIVE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef
IS_DEAD_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvBufResponse
IS_DEAD_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvTensorResponse
IS_FINAL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef.Node
IS_LAST_PARTIAL_RUN_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunGraphRequest
IS_PARTIAL_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunGraphRequest
IS_REF_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef.ArgDef
IS_RESOURCE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.VariableDef
IS_SOURCE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteInstanceRequest
IS_STATEFUL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef
isInitialized() - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.CleanupAllRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.CleanupAllResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.CleanupAllResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.CloseSessionRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.CloseSessionResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.CloseSessionResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.ClusterDef
isInitialized() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.ExecutorOpts
isInitialized() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.GetStatusRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.GetStatusRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.GetStatusResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.JobDef.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.JobDef
isInitialized() - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.LabeledStepStats
isInitialized() - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.ListDevicesRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.LoggingRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.LoggingResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.MakeCallableResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.RecvBufRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.RecvBufResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.ResetRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.ResetResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.ResetResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.RunCallableRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.RunCallableResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.RunGraphRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.RunGraphResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.RunStepRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.RunStepResponse
isInitialized() - 类中的方法org.tensorflow.distruntime.ServerDef.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.ServerDef
isInitialized() - 类中的方法org.tensorflow.distruntime.StepSequence.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.StepSequence
isInitialized() - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.TraceOpts
isInitialized() - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.TracingRequest
isInitialized() - 类中的方法org.tensorflow.distruntime.TracingResponse.Builder
isInitialized() - 类中的方法org.tensorflow.distruntime.TracingResponse
isInitialized() - 类中的方法org.tensorflow.example.BytesList.Builder
isInitialized() - 类中的方法org.tensorflow.example.BytesList
isInitialized() - 类中的方法org.tensorflow.example.Example.Builder
isInitialized() - 类中的方法org.tensorflow.example.Example
isInitialized() - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
isInitialized() - 类中的方法org.tensorflow.example.ExampleParserConfiguration
isInitialized() - 类中的方法org.tensorflow.example.Feature.Builder
isInitialized() - 类中的方法org.tensorflow.example.Feature
isInitialized() - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder
isInitialized() - 类中的方法org.tensorflow.example.FeatureConfiguration
isInitialized() - 类中的方法org.tensorflow.example.FeatureList.Builder
isInitialized() - 类中的方法org.tensorflow.example.FeatureList
isInitialized() - 类中的方法org.tensorflow.example.FeatureLists.Builder
isInitialized() - 类中的方法org.tensorflow.example.FeatureLists
isInitialized() - 类中的方法org.tensorflow.example.Features.Builder
isInitialized() - 类中的方法org.tensorflow.example.Features
isInitialized() - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
isInitialized() - 类中的方法org.tensorflow.example.FixedLenFeatureProto
isInitialized() - 类中的方法org.tensorflow.example.FloatList.Builder
isInitialized() - 类中的方法org.tensorflow.example.FloatList
isInitialized() - 类中的方法org.tensorflow.example.Int64List.Builder
isInitialized() - 类中的方法org.tensorflow.example.Int64List
isInitialized() - 类中的方法org.tensorflow.example.SequenceExample.Builder
isInitialized() - 类中的方法org.tensorflow.example.SequenceExample
isInitialized() - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder
isInitialized() - 类中的方法org.tensorflow.example.VarLenFeatureProto
isInitialized() - 类中的方法org.tensorflow.framework.AllocationDescription.Builder
isInitialized() - 类中的方法org.tensorflow.framework.AllocationDescription
isInitialized() - 类中的方法org.tensorflow.framework.AllocationRecord.Builder
isInitialized() - 类中的方法org.tensorflow.framework.AllocationRecord
isInitialized() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
isInitialized() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed
isInitialized() - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder
isInitialized() - 类中的方法org.tensorflow.framework.ApiDef.Arg
isInitialized() - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder
isInitialized() - 类中的方法org.tensorflow.framework.ApiDef.Attr
isInitialized() - 类中的方法org.tensorflow.framework.ApiDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
isInitialized() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint
isInitialized() - 类中的方法org.tensorflow.framework.ApiDef
isInitialized() - 类中的方法org.tensorflow.framework.ApiDefs.Builder
isInitialized() - 类中的方法org.tensorflow.framework.ApiDefs
isInitialized() - 类中的方法org.tensorflow.framework.AssetFileDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.AssetFileDef
isInitialized() - 类中的方法org.tensorflow.framework.AttrValue.Builder
isInitialized() - 类中的方法org.tensorflow.framework.AttrValue
isInitialized() - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
isInitialized() - 类中的方法org.tensorflow.framework.AttrValue.ListValue
isInitialized() - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder
isInitialized() - 类中的方法org.tensorflow.framework.AutoParallelOptions
isInitialized() - 类中的方法org.tensorflow.framework.CallableOptions.Builder
isInitialized() - 类中的方法org.tensorflow.framework.CallableOptions
isInitialized() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
isInitialized() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList
isInitialized() - 类中的方法org.tensorflow.framework.CollectionDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
isInitialized() - 类中的方法org.tensorflow.framework.CollectionDef.BytesList
isInitialized() - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
isInitialized() - 类中的方法org.tensorflow.framework.CollectionDef.FloatList
isInitialized() - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder
isInitialized() - 类中的方法org.tensorflow.framework.CollectionDef.Int64List
isInitialized() - 类中的方法org.tensorflow.framework.CollectionDef
isInitialized() - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
isInitialized() - 类中的方法org.tensorflow.framework.CollectionDef.NodeList
isInitialized() - 类中的方法org.tensorflow.framework.CondContextDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.CondContextDef
isInitialized() - 类中的方法org.tensorflow.framework.ConfigProto.Builder
isInitialized() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
isInitialized() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental
isInitialized() - 类中的方法org.tensorflow.framework.ConfigProto
isInitialized() - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.ControlFlowContextDef
isInitialized() - 类中的方法org.tensorflow.framework.CostGraphDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.CostGraphDef
isInitialized() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
isInitialized() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
isInitialized() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
isInitialized() - 类中的方法org.tensorflow.framework.CostGraphDef.Node
isInitialized() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
isInitialized() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
isInitialized() - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.CriticalSectionDef
isInitialized() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef
isInitialized() - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
isInitialized() - 类中的方法org.tensorflow.framework.DebuggedSourceFile
isInitialized() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
isInitialized() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles
isInitialized() - 类中的方法org.tensorflow.framework.DebugOptions.Builder
isInitialized() - 类中的方法org.tensorflow.framework.DebugOptions
isInitialized() - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder
isInitialized() - 类中的方法org.tensorflow.framework.DebugTensorWatch
isInitialized() - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder
isInitialized() - 类中的方法org.tensorflow.framework.DeviceAttributes
isInitialized() - 类中的方法org.tensorflow.framework.DeviceLocality.Builder
isInitialized() - 类中的方法org.tensorflow.framework.DeviceLocality
isInitialized() - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder
isInitialized() - 类中的方法org.tensorflow.framework.DeviceStepStats
isInitialized() - 类中的方法org.tensorflow.framework.FunctionDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.FunctionDef
isInitialized() - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
isInitialized() - 类中的方法org.tensorflow.framework.FunctionDefLibrary
isInitialized() - 类中的方法org.tensorflow.framework.GPUOptions.Builder
isInitialized() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
isInitialized() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental
isInitialized() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
isInitialized() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
isInitialized() - 类中的方法org.tensorflow.framework.GPUOptions
isInitialized() - 类中的方法org.tensorflow.framework.GradientDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.GradientDef
isInitialized() - 类中的方法org.tensorflow.framework.GraphDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.GraphDef
isInitialized() - 类中的方法org.tensorflow.framework.GraphOptions.Builder
isInitialized() - 类中的方法org.tensorflow.framework.GraphOptions
isInitialized() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
isInitialized() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
isInitialized() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
isInitialized() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
isInitialized() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
isInitialized() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
isInitialized() - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder
isInitialized() - 类中的方法org.tensorflow.framework.GraphTransferInfo
isInitialized() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
isInitialized() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo
isInitialized() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder
isInitialized() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput
isInitialized() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
isInitialized() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo
isInitialized() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
isInitialized() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo
isInitialized() - 类中的方法org.tensorflow.framework.HistogramProto.Builder
isInitialized() - 类中的方法org.tensorflow.framework.HistogramProto
isInitialized() - 类中的方法org.tensorflow.framework.InterconnectLink.Builder
isInitialized() - 类中的方法org.tensorflow.framework.InterconnectLink
isInitialized() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
isInitialized() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint
isInitialized() - 类中的方法org.tensorflow.framework.KernelDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.KernelDef
isInitialized() - 类中的方法org.tensorflow.framework.KernelList.Builder
isInitialized() - 类中的方法org.tensorflow.framework.KernelList
isInitialized() - 类中的方法org.tensorflow.framework.LocalLinks.Builder
isInitialized() - 类中的方法org.tensorflow.framework.LocalLinks
isInitialized() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
isInitialized() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation
isInitialized() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
isInitialized() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation
isInitialized() - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder
isInitialized() - 类中的方法org.tensorflow.framework.MemoryLogStep
isInitialized() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
isInitialized() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation
isInitialized() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
isInitialized() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation
isInitialized() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
isInitialized() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput
isInitialized() - 类中的方法org.tensorflow.framework.MemoryStats.Builder
isInitialized() - 类中的方法org.tensorflow.framework.MemoryStats
isInitialized() - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.MetaGraphDef
isInitialized() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
isInitialized() - 类中的方法org.tensorflow.framework.NameAttrList.Builder
isInitialized() - 类中的方法org.tensorflow.framework.NameAttrList
isInitialized() - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder
isInitialized() - 类中的方法org.tensorflow.framework.NamedTensorProto
isInitialized() - 类中的方法org.tensorflow.framework.NodeDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.NodeDef
isInitialized() - 类中的方法org.tensorflow.framework.NodeExecStats.Builder
isInitialized() - 类中的方法org.tensorflow.framework.NodeExecStats
isInitialized() - 类中的方法org.tensorflow.framework.NodeOutput.Builder
isInitialized() - 类中的方法org.tensorflow.framework.NodeOutput
isInitialized() - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.OpDef.ArgDef
isInitialized() - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.OpDef.AttrDef
isInitialized() - 类中的方法org.tensorflow.framework.OpDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.OpDef
isInitialized() - 类中的方法org.tensorflow.framework.OpDeprecation.Builder
isInitialized() - 类中的方法org.tensorflow.framework.OpDeprecation
isInitialized() - 类中的方法org.tensorflow.framework.OpList.Builder
isInitialized() - 类中的方法org.tensorflow.framework.OpList
isInitialized() - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder
isInitialized() - 类中的方法org.tensorflow.framework.OptimizerOptions
isInitialized() - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.QueueRunnerDef
isInitialized() - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder
isInitialized() - 类中的方法org.tensorflow.framework.ReaderBaseState
isInitialized() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
isInitialized() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
isInitialized() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
isInitialized() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
isInitialized() - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder
isInitialized() - 类中的方法org.tensorflow.framework.ResourceHandleProto
isInitialized() - 类中的方法org.tensorflow.framework.RewriterConfig.Builder
isInitialized() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
isInitialized() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
isInitialized() - 类中的方法org.tensorflow.framework.RewriterConfig
isInitialized() - 类中的方法org.tensorflow.framework.RPCOptions.Builder
isInitialized() - 类中的方法org.tensorflow.framework.RPCOptions
isInitialized() - 类中的方法org.tensorflow.framework.RunMetadata.Builder
isInitialized() - 类中的方法org.tensorflow.framework.RunMetadata
isInitialized() - 类中的方法org.tensorflow.framework.RunOptions.Builder
isInitialized() - 类中的方法org.tensorflow.framework.RunOptions.Experimental.Builder
isInitialized() - 类中的方法org.tensorflow.framework.RunOptions.Experimental
isInitialized() - 类中的方法org.tensorflow.framework.RunOptions
isInitialized() - 类中的方法org.tensorflow.framework.SavedModel.Builder
isInitialized() - 类中的方法org.tensorflow.framework.SavedModel
isInitialized() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef
isInitialized() - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
isInitialized() - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions
isInitialized() - 类中的方法org.tensorflow.framework.SignatureDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.SignatureDef
isInitialized() - 类中的方法org.tensorflow.framework.StepStats.Builder
isInitialized() - 类中的方法org.tensorflow.framework.StepStats
isInitialized() - 类中的方法org.tensorflow.framework.Summary.Audio.Builder
isInitialized() - 类中的方法org.tensorflow.framework.Summary.Audio
isInitialized() - 类中的方法org.tensorflow.framework.Summary.Builder
isInitialized() - 类中的方法org.tensorflow.framework.Summary.Image.Builder
isInitialized() - 类中的方法org.tensorflow.framework.Summary.Image
isInitialized() - 类中的方法org.tensorflow.framework.Summary
isInitialized() - 类中的方法org.tensorflow.framework.Summary.Value.Builder
isInitialized() - 类中的方法org.tensorflow.framework.Summary.Value
isInitialized() - 类中的方法org.tensorflow.framework.SummaryDescription.Builder
isInitialized() - 类中的方法org.tensorflow.framework.SummaryDescription
isInitialized() - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder
isInitialized() - 类中的方法org.tensorflow.framework.SummaryMetadata
isInitialized() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
isInitialized() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData
isInitialized() - 类中的方法org.tensorflow.framework.TensorConnection.Builder
isInitialized() - 类中的方法org.tensorflow.framework.TensorConnection
isInitialized() - 类中的方法org.tensorflow.framework.TensorDescription.Builder
isInitialized() - 类中的方法org.tensorflow.framework.TensorDescription
isInitialized() - 类中的方法org.tensorflow.framework.TensorInfo.Builder
isInitialized() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
isInitialized() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse
isInitialized() - 类中的方法org.tensorflow.framework.TensorInfo
isInitialized() - 类中的方法org.tensorflow.framework.TensorProto.Builder
isInitialized() - 类中的方法org.tensorflow.framework.TensorProto
isInitialized() - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder
isInitialized() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
isInitialized() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim
isInitialized() - 类中的方法org.tensorflow.framework.TensorShapeProto
isInitialized() - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder
isInitialized() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
isInitialized() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent
isInitialized() - 类中的方法org.tensorflow.framework.TensorSliceProto
isInitialized() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
isInitialized() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto
isInitialized() - 类中的方法org.tensorflow.framework.ValuesDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.ValuesDef
isInitialized() - 类中的方法org.tensorflow.framework.VariableDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.VariableDef
isInitialized() - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
isInitialized() - 类中的方法org.tensorflow.framework.VariantTensorDataProto
isInitialized() - 类中的方法org.tensorflow.framework.VersionDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.VersionDef
isInitialized() - 类中的方法org.tensorflow.framework.WhileContextDef.Builder
isInitialized() - 类中的方法org.tensorflow.framework.WhileContextDef
isInitialized() - 类中的方法org.tensorflow.util.BundleEntryProto.Builder
isInitialized() - 类中的方法org.tensorflow.util.BundleEntryProto
isInitialized() - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder
isInitialized() - 类中的方法org.tensorflow.util.BundleHeaderProto
isInitialized() - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder
isInitialized() - 类中的方法org.tensorflow.util.IteratorStateMetadata
isInitialized() - 类中的方法org.tensorflow.util.SaverDef.Builder
isInitialized() - 类中的方法org.tensorflow.util.SaverDef
isInitialized() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
isInitialized() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
isInitialized() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
isInitialized() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
isInitialized() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
isInitialized() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
isInitialized() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
isInitialized() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
isInitialized() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
isInitialized() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
isInitialized() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
isInitialized() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
isInitialized() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
isInitialized() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse.Builder
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
isInitialized() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
isInitialized() - 类中的方法tensorflow.serving.Classification.Class.Builder
isInitialized() - 类中的方法tensorflow.serving.Classification.Class
isInitialized() - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
isInitialized() - 类中的方法tensorflow.serving.Classification.ClassificationRequest
isInitialized() - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
isInitialized() - 类中的方法tensorflow.serving.Classification.ClassificationResponse
isInitialized() - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder
isInitialized() - 类中的方法tensorflow.serving.Classification.ClassificationResult
isInitialized() - 类中的方法tensorflow.serving.Classification.Classifications.Builder
isInitialized() - 类中的方法tensorflow.serving.Classification.Classifications
isInitialized() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
isInitialized() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
isInitialized() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
isInitialized() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
isInitialized() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder
isInitialized() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
isInitialized() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
isInitialized() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
isInitialized() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder
isInitialized() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
isInitialized() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
isInitialized() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
isInitialized() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
isInitialized() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
isInitialized() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
isInitialized() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
isInitialized() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
isInitialized() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
isInitialized() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
isInitialized() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
isInitialized() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
isInitialized() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
isInitialized() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
isInitialized() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus
isInitialized() - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder
isInitialized() - 类中的方法tensorflow.serving.Inference.InferenceResult
isInitialized() - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder
isInitialized() - 类中的方法tensorflow.serving.Inference.InferenceTask
isInitialized() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
isInitialized() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest
isInitialized() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
isInitialized() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse
isInitialized() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
isInitialized() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList
isInitialized() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
isInitialized() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
isInitialized() - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder
isInitialized() - 类中的方法tensorflow.serving.InputOuterClass.Input
isInitialized() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
isInitialized() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
isInitialized() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
isInitialized() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
isInitialized() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
isInitialized() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
isInitialized() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
isInitialized() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
isInitialized() - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder
isInitialized() - 类中的方法tensorflow.serving.Logging.LogMetadata
isInitialized() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
isInitialized() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
isInitialized() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder
isInitialized() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
isInitialized() - 类中的方法tensorflow.serving.Model.ModelSpec.Builder
isInitialized() - 类中的方法tensorflow.serving.Model.ModelSpec
isInitialized() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
isInitialized() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest
isInitialized() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
isInitialized() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse
isInitialized() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
isInitialized() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
isInitialized() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
isInitialized() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
isInitialized() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
isInitialized() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
isInitialized() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
isInitialized() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
isInitialized() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
isInitialized() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
isInitialized() - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder
isInitialized() - 类中的方法tensorflow.serving.Predict.PredictRequest
isInitialized() - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder
isInitialized() - 类中的方法tensorflow.serving.Predict.PredictResponse
isInitialized() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
isInitialized() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
isInitialized() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
isInitialized() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
isInitialized() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
isInitialized() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
isInitialized() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
isInitialized() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog
isInitialized() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
isInitialized() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog
isInitialized() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
isInitialized() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
isInitialized() - 类中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder
isInitialized() - 类中的方法tensorflow.serving.RegressionOuterClass.Regression
isInitialized() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
isInitialized() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest
isInitialized() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
isInitialized() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse
isInitialized() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
isInitialized() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult
isInitialized() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
isInitialized() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
isInitialized() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
isInitialized() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
isInitialized() - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
isInitialized() - 类中的方法tensorflow.serving.SslConfig.SSLConfig
isInitialized() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
isInitialized() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
isInitialized() - 类中的方法tensorflow.serving.Status.StatusProto.Builder
isInitialized() - 类中的方法tensorflow.serving.Status.StatusProto
isInitialized() - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder
isInitialized() - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra
ISOLATE_SESSION_STATE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CreateWorkerSessionRequest
ISOLATE_SESSION_STATE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ConfigProto
IteratorProtos - org.tensorflow.util中的类
IteratorStateMetadata - org.tensorflow.util中的类: Protocol buffer representing the metadata for an iterator's state stored as a Variant tensor.
IteratorStateMetadata.Builder - org.tensorflow.util中的类: Protocol buffer representing the metadata for an iterator's state stored as a Variant tensor.
IteratorStateMetadataOrBuilder - org.tensorflow.util中的接口

J

JOB_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.ClusterDef
JOB_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.ServerDef
JobDef - org.tensorflow.distruntime中的类: Defines a single job in a TensorFlow cluster.
JobDef.Builder - org.tensorflow.distruntime中的类: Defines a single job in a TensorFlow cluster.
JobDefOrBuilder - org.tensorflow.distruntime中的接口

K

KEEP_ALIVE_SECS_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
KEEP_CHECKPOINT_EVERY_N_HOURS_FIELD_NUMBER - 类中的静态变量org.tensorflow.util.SaverDef
keepAlive(EagerServiceOuterClass.KeepAliveRequest) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceBlockingStub: Contexts are always created with a deadline and no RPCs within a deadline will trigger a context garbage collection.
keepAlive(EagerServiceOuterClass.KeepAliveRequest) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceFutureStub: Contexts are always created with a deadline and no RPCs within a deadline will trigger a context garbage collection.
keepAlive(EagerServiceOuterClass.KeepAliveRequest, StreamObserver<EagerServiceOuterClass.KeepAliveResponse>) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceImplBase: Contexts are always created with a deadline and no RPCs within a deadline will trigger a context garbage collection.
keepAlive(EagerServiceOuterClass.KeepAliveRequest, StreamObserver<EagerServiceOuterClass.KeepAliveResponse>) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceStub: Contexts are always created with a deadline and no RPCs within a deadline will trigger a context garbage collection.
KERNEL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.KernelList
KERNEL_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryLogTensorAllocation
KERNEL_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryLogTensorOutput
KernelDef - org.tensorflow.framework中的类: Protobuf type tensorflow.KernelDef
KernelDef.AttrConstraint - org.tensorflow.framework中的类: Protobuf type tensorflow.KernelDef.AttrConstraint
KernelDef.AttrConstraint.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.KernelDef.AttrConstraint
KernelDef.AttrConstraintOrBuilder - org.tensorflow.framework中的接口
KernelDef.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.KernelDef
KernelDefOrBuilder - org.tensorflow.framework中的接口
KernelDefProtos - org.tensorflow.framework中的类
KernelList - org.tensorflow.framework中的类: A collection of KernelDefs Protobuf type tensorflow.KernelList
KernelList.Builder - org.tensorflow.framework中的类: A collection of KernelDefs Protobuf type tensorflow.KernelList
KernelListOrBuilder - org.tensorflow.framework中的接口
KEYS_FIELD_NUMBER - 类中的静态变量org.tensorflow.util.IteratorStateMetadata

L

L0_VALUE - 枚举中的静态变量org.tensorflow.framework.OptimizerOptions.Level: No optimizations L0 = -1;
L1_CACHE_SIZE_FIELD_NUMBER - 类中的静态变量tensorflow.DevicePropertiesProtos.DeviceProperties
L1_VALUE - 枚举中的静态变量org.tensorflow.framework.OptimizerOptions.Level: L1 is the default level.
L2_CACHE_SIZE_FIELD_NUMBER - 类中的静态变量tensorflow.DevicePropertiesProtos.DeviceProperties
L3_CACHE_SIZE_FIELD_NUMBER - 类中的静态变量tensorflow.DevicePropertiesProtos.DeviceProperties
LABEL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.KernelDef
LABEL_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Classification.Class
LabeledStepStats - org.tensorflow.distruntime中的类: Protobuf type tensorflow.LabeledStepStats
LabeledStepStats.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.LabeledStepStats
LabeledStepStatsOrBuilder - org.tensorflow.distruntime中的接口
LAST_MODIFIED_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DebuggedSourceFile
LATEST_FIELD_NUMBER - 类中的静态变量tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
LAYOUT_OPTIMIZER_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RewriterConfig
LEGACY_VALUE - 枚举中的静态变量org.tensorflow.util.SaverDef.CheckpointFormatVersion: Internal legacy format.
LENGTH_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorSliceProto.Extent
LENGTH_FRAMES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.Summary.Audio
LIBRARY_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphDef
LINES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DebuggedSourceFile
LINK_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.LocalLinks
LINKS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DeviceLocality
LIST_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AttrValue
listDevices(ListDevicesRequest) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceBlockingStub: List the devices usable by the master.
listDevices(ListDevicesRequest) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceFutureStub: List the devices usable by the master.
listDevices(ListDevicesRequest, StreamObserver<ListDevicesResponse>) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceImplBase: List the devices usable by the master.
listDevices(ListDevicesRequest, StreamObserver<ListDevicesResponse>) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceStub: List the devices usable by the master.
ListDevicesRequest - org.tensorflow.distruntime中的类: Protobuf type tensorflow.ListDevicesRequest
ListDevicesRequest.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.ListDevicesRequest
ListDevicesRequestOrBuilder - org.tensorflow.distruntime中的接口
ListDevicesResponse - org.tensorflow.distruntime中的类: Protobuf type tensorflow.ListDevicesResponse
ListDevicesResponse.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.ListDevicesResponse
ListDevicesResponseOrBuilder - org.tensorflow.distruntime中的接口
LITTLE_VALUE - 枚举中的静态变量org.tensorflow.util.BundleHeaderProto.Endianness: LITTLE = 0;
LIVE_BYTES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AllocatorMemoryUsed
LOADING_VALUE - 枚举中的静态变量tensorflow.serving.GetModelStatus.ModelVersionStatus.State: The manager has decided to load this servable.
LOCAL_DEVICE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.ListDevicesResponse
LOCAL_NAME_FIELD_NUMBER - 类中的静态变量tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
LOCALITY_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DeviceAttributes
LocalLinks - org.tensorflow.framework中的类: Protobuf type tensorflow.LocalLinks
LocalLinks.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.LocalLinks
LocalLinksOrBuilder - org.tensorflow.framework中的接口
LOG_COLLECTOR_CONFIG_FIELD_NUMBER - 类中的静态变量tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
LOG_DEVICE_PLACEMENT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ConfigProto
LOG_METADATA_FIELD_NUMBER - 类中的静态变量tensorflow.serving.PredictionLogOuterClass.PredictionLog
LogCollectorConfigOuterClass - tensorflow.serving中的类
LogCollectorConfigOuterClass.LogCollectorConfig - tensorflow.serving中的类: Protobuf type tensorflow.serving.LogCollectorConfig
LogCollectorConfigOuterClass.LogCollectorConfig.Builder - tensorflow.serving中的类: Protobuf type tensorflow.serving.LogCollectorConfig
LogCollectorConfigOuterClass.LogCollectorConfigOrBuilder - tensorflow.serving中的接口
logging(LoggingRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceBlockingStub: See worker.proto for details.
logging(LoggingRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceFutureStub: See worker.proto for details.
logging(LoggingRequest, StreamObserver<LoggingResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceImplBase: See worker.proto for details.
logging(LoggingRequest, StreamObserver<LoggingResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceStub: See worker.proto for details.
Logging - tensorflow.serving中的类
Logging.LogMetadata - tensorflow.serving中的类: Metadata logged along with the request logs.
Logging.LogMetadata.Builder - tensorflow.serving中的类: Metadata logged along with the request logs.
Logging.LogMetadataOrBuilder - tensorflow.serving中的接口
LOGGING_CONFIG_FIELD_NUMBER - 类中的静态变量tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
LoggingConfigOuterClass - tensorflow.serving中的类
LoggingConfigOuterClass.LoggingConfig - tensorflow.serving中的类: Configuration for logging query/responses.
LoggingConfigOuterClass.LoggingConfig.Builder - tensorflow.serving中的类: Configuration for logging query/responses.
LoggingConfigOuterClass.LoggingConfigOrBuilder - tensorflow.serving中的接口
LoggingConfigOuterClass.SamplingConfig - tensorflow.serving中的类: Protobuf type tensorflow.serving.SamplingConfig
LoggingConfigOuterClass.SamplingConfig.Builder - tensorflow.serving中的类: Protobuf type tensorflow.serving.SamplingConfig
LoggingConfigOuterClass.SamplingConfigOrBuilder - tensorflow.serving中的接口
LoggingRequest - org.tensorflow.distruntime中的类: Out-of-band request to begin or end logging, or to retrieve logs for particular steps.
LoggingRequest.Builder - org.tensorflow.distruntime中的类: Out-of-band request to begin or end logging, or to retrieve logs for particular steps.
LoggingRequestOrBuilder - org.tensorflow.distruntime中的接口
LoggingResponse - org.tensorflow.distruntime中的类: Protobuf type tensorflow.LoggingResponse
LoggingResponse.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.LoggingResponse
LoggingResponseOrBuilder - org.tensorflow.distruntime中的接口
LogMemoryProtos - org.tensorflow.framework中的类
LOOP_ENTER_NAMES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.WhileContextDef
LOOP_EXIT_NAMES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.WhileContextDef
LOOP_OPTIMIZATION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RewriterConfig

M

makeCallable(MakeCallableRequest) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceBlockingStub: Registers a callable for execution with RunCallable.
makeCallable(MakeCallableRequest) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceFutureStub: Registers a callable for execution with RunCallable.
makeCallable(MakeCallableRequest, StreamObserver<MakeCallableResponse>) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceImplBase: Registers a callable for execution with RunCallable.
makeCallable(MakeCallableRequest, StreamObserver<MakeCallableResponse>) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceStub: Registers a callable for execution with RunCallable.
MakeCallableRequest - org.tensorflow.distruntime中的类: Protobuf type tensorflow.MakeCallableRequest
MakeCallableRequest.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.MakeCallableRequest
MakeCallableRequestOrBuilder - org.tensorflow.distruntime中的接口
MakeCallableResponse - org.tensorflow.distruntime中的类: Protobuf type tensorflow.MakeCallableResponse
MakeCallableResponse.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.MakeCallableResponse
MakeCallableResponseOrBuilder - org.tensorflow.distruntime中的接口
MANUAL_VALUE - 枚举中的静态变量org.tensorflow.framework.RewriterConfig.MemOptType: Driven by manual op-level annotations.
MasterServiceGrpc - org.tensorflow.distruntime中的类
MasterServiceGrpc.MasterServiceBlockingStub - org.tensorflow.distruntime中的类
MasterServiceGrpc.MasterServiceFutureStub - org.tensorflow.distruntime中的类
MasterServiceGrpc.MasterServiceImplBase - org.tensorflow.distruntime中的类
MasterServiceGrpc.MasterServiceStub - org.tensorflow.distruntime中的类
MasterServiceImplBase() - 类的构造器org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceImplBase
MasterServiceProtos - org.tensorflow.distruntime中的类
MAX_BYTE_SIZE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferNodeOutputInfo
MAX_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.HistogramProto
MAX_FOLDED_CONSTANT_IN_BYTES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OptimizerOptions
MAX_TO_KEEP_FIELD_NUMBER - 类中的静态变量org.tensorflow.util.SaverDef
MAXIMUM_ITERATIONS_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.WhileContextDef
MAYBE_TYPE_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ResourceHandleProto
MEMORY_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeExecStats
MEMORY_LIMIT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DeviceAttributes
MEMORY_LIMIT_MB_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
MEMORY_OPTIMIZATION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RewriterConfig
MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RewriterConfig
MEMORY_SIZE_FIELD_NUMBER - 类中的静态变量tensorflow.DevicePropertiesProtos.DeviceProperties
MEMORY_STATS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeExecStats
MEMORY_TIME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef.Node
MemoryLogRawAllocation - org.tensorflow.framework中的类: Protobuf type tensorflow.MemoryLogRawAllocation
MemoryLogRawAllocation.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.MemoryLogRawAllocation
MemoryLogRawAllocationOrBuilder - org.tensorflow.framework中的接口
MemoryLogRawDeallocation - org.tensorflow.framework中的类: Protobuf type tensorflow.MemoryLogRawDeallocation
MemoryLogRawDeallocation.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.MemoryLogRawDeallocation
MemoryLogRawDeallocationOrBuilder - org.tensorflow.framework中的接口
MemoryLogStep - org.tensorflow.framework中的类: Protobuf type tensorflow.MemoryLogStep
MemoryLogStep.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.MemoryLogStep
MemoryLogStepOrBuilder - org.tensorflow.framework中的接口
MemoryLogTensorAllocation - org.tensorflow.framework中的类: Protobuf type tensorflow.MemoryLogTensorAllocation
MemoryLogTensorAllocation.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.MemoryLogTensorAllocation
MemoryLogTensorAllocationOrBuilder - org.tensorflow.framework中的接口
MemoryLogTensorDeallocation - org.tensorflow.framework中的类: Protobuf type tensorflow.MemoryLogTensorDeallocation
MemoryLogTensorDeallocation.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.MemoryLogTensorDeallocation
MemoryLogTensorDeallocationOrBuilder - org.tensorflow.framework中的接口
MemoryLogTensorOutput - org.tensorflow.framework中的类: Protobuf type tensorflow.MemoryLogTensorOutput
MemoryLogTensorOutput.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.MemoryLogTensorOutput
MemoryLogTensorOutputOrBuilder - org.tensorflow.framework中的接口
MemoryStats - org.tensorflow.framework中的类: For memory tracking.
MemoryStats.Builder - org.tensorflow.framework中的类: For memory tracking.
MemoryStatsOrBuilder - org.tensorflow.framework中的接口
mergeAll(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All all = 101;
mergeAllocationDescription(AllocationDescription) - 类中的方法org.tensorflow.framework.TensorDescription.Builder: Information about the size and allocator used for the data .tensorflow.AllocationDescription allocation_description = 4;
mergeAllowedValues(AttrValue) - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
mergeAllowedValues(AttrValue) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: The set of allowed values.
mergeAnyInfo(Any) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
mergeAnyList(CollectionDef.AnyList) - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
mergeAudio(Summary.Audio) - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
mergeAutoParallel(AutoParallelOptions) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
mergeBytesList(BytesList) - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
mergeBytesList(CollectionDef.BytesList) - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
mergeClassificationResult(Classification.ClassificationResult) - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.ClassificationResult classification_result = 2;
mergeClassifyLog(PredictionLogOuterClass.ClassifyLog) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.ClassifyLog classify_log = 2;
mergeClientLocality(DeviceLocality) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional information on client-side device locality.
mergeClientLocality(DeviceLocality) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information on client-side device locality.
mergeCluster(ClusterDef) - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The cluster of which this server is a member.
mergeClusterDef(ClusterDef) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Optional list of all workers to use in this session.
mergeCondCtxt(CondContextDef) - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
mergeConfig(ConfigProto) - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder: Configuration options.
mergeConfig(ModelServerConfigOuterClass.ModelServerConfig) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder: .tensorflow.serving.ModelServerConfig config = 1;
mergeContext(Features) - 类中的方法org.tensorflow.example.SequenceExample.Builder: .tensorflow.Features context = 1;
mergeContext(Example) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: .tensorflow.Example context = 2;
mergeCooSparse(TensorInfo.CooSparse) - 类中的方法org.tensorflow.framework.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
mergeCostGraph(CostGraphDef) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: .tensorflow.CostGraphDef cost_graph = 3;
mergeCostGraph(CostGraphDef) - 类中的方法org.tensorflow.framework.RunMetadata.Builder: The cost graph for the computation defined by the run call.
mergeCustomModelConfig(Any) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder: .google.protobuf.Any custom_model_config = 2;
mergeDebugOptions(DebugOptions) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Field(s) used by TensorFlow Debugger (tfdbg).
mergeDebugOptions(DebugOptions) - 类中的方法org.tensorflow.framework.RunOptions.Builder: EXPERIMENTAL.
mergeDefaultSessionConfig(ConfigProto) - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The default configuration for sessions that run on this server.
mergeDefaultValue(TensorProto) - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
mergeDefaultValue(AttrValue) - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
mergeDefaultValue(AttrValue) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
mergeDeprecation(OpDeprecation) - 类中的方法org.tensorflow.framework.OpDef.Builder: Optional deprecation based on GraphDef versions.
mergeExampleList(InputOuterClass.ExampleList) - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder: .tensorflow.serving.ExampleList example_list = 1 [lazy = true];
mergeExampleList(SerializedInputOuterClass.SerializedExampleList) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder: .tensorflow.serving.internal.SerializedExampleList example_list = 1;
mergeExampleListWithContext(InputOuterClass.ExampleListWithContext) - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder: .tensorflow.serving.ExampleListWithContext example_list_with_context = 2 [lazy = true];
mergeExampleListWithContext(SerializedInputOuterClass.SerializedExampleListWithContext) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder: .tensorflow.serving.internal.SerializedExampleListWithContext example_list_with_context = 2;
mergeExecOpts(ExecutorOpts) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Options for this step.
mergeExperimental(ConfigProto.Experimental) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
mergeExperimental(GPUOptions.Experimental) - 类中的方法org.tensorflow.framework.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
mergeExperimental(RunOptions.Experimental) - 类中的方法org.tensorflow.framework.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
mergeFeatureLists(FeatureLists) - 类中的方法org.tensorflow.example.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
mergeFeatures(Features) - 类中的方法org.tensorflow.example.Example.Builder: .tensorflow.Features features = 1;
mergeFixedLenFeature(FixedLenFeatureProto) - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
mergeFloatList(FloatList) - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.FloatList float_list = 2;
mergeFloatList(CollectionDef.FloatList) - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
mergeFrom(CleanupAllRequest) - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.CleanupAllResponse.Builder
mergeFrom(CleanupAllResponse) - 类中的方法org.tensorflow.distruntime.CleanupAllResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.CleanupAllResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder
mergeFrom(CleanupGraphRequest) - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse.Builder
mergeFrom(CleanupGraphResponse) - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder
mergeFrom(CloseSessionRequest) - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.CloseSessionResponse.Builder
mergeFrom(CloseSessionResponse) - 类中的方法org.tensorflow.distruntime.CloseSessionResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.CloseSessionResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder
mergeFrom(ClusterDef) - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
mergeFrom(CompleteGroupRequest) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
mergeFrom(CompleteGroupResponse) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
mergeFrom(CompleteInstanceRequest) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
mergeFrom(CompleteInstanceResponse) - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
mergeFrom(CreateSessionRequest) - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder
mergeFrom(CreateSessionResponse) - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
mergeFrom(CreateWorkerSessionRequest) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
mergeFrom(CreateWorkerSessionResponse) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
mergeFrom(DeleteWorkerSessionRequest) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
mergeFrom(DeleteWorkerSessionResponse) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
mergeFrom(DeregisterGraphRequest) - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse.Builder
mergeFrom(DeregisterGraphResponse) - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
mergeFrom(ExecutorOpts) - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
mergeFrom(ExtendSessionRequest) - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
mergeFrom(ExtendSessionResponse) - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.GetStatusRequest.Builder
mergeFrom(GetStatusRequest) - 类中的方法org.tensorflow.distruntime.GetStatusRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.GetStatusRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
mergeFrom(GetStatusResponse) - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
mergeFrom(GetStepSequenceRequest) - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
mergeFrom(GetStepSequenceResponse) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.JobDef.Builder
mergeFrom(JobDef) - 类中的方法org.tensorflow.distruntime.JobDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.JobDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
mergeFrom(LabeledStepStats) - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder
mergeFrom(ListDevicesRequest) - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
mergeFrom(ListDevicesResponse) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder
mergeFrom(LoggingRequest) - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder
mergeFrom(LoggingResponse) - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
mergeFrom(MakeCallableRequest) - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder
mergeFrom(MakeCallableResponse) - 类中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
mergeFrom(PartialRunSetupRequest) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
mergeFrom(PartialRunSetupResponse) - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
mergeFrom(RecvBufRequest) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
mergeFrom(RecvBufResponse) - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
mergeFrom(RecvTensorRequest) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
mergeFrom(RecvTensorResponse) - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
mergeFrom(RegisterGraphRequest) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
mergeFrom(RegisterGraphResponse) - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
mergeFrom(ReleaseCallableRequest) - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse.Builder
mergeFrom(ReleaseCallableResponse) - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder
mergeFrom(ResetRequest) - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.ResetResponse.Builder
mergeFrom(ResetResponse) - 类中的方法org.tensorflow.distruntime.ResetResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.ResetResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
mergeFrom(RunCallableRequest) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
mergeFrom(RunCallableResponse) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
mergeFrom(RunGraphRequest) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
mergeFrom(RunGraphResponse) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder
mergeFrom(RunStepRequest) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder
mergeFrom(RunStepResponse) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.ServerDef.Builder
mergeFrom(ServerDef) - 类中的方法org.tensorflow.distruntime.ServerDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.ServerDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.StepSequence.Builder
mergeFrom(StepSequence) - 类中的方法org.tensorflow.distruntime.StepSequence.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.StepSequence.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder
mergeFrom(TraceOpts) - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder
mergeFrom(TracingRequest) - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.distruntime.TracingResponse.Builder
mergeFrom(TracingResponse) - 类中的方法org.tensorflow.distruntime.TracingResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.distruntime.TracingResponse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.example.BytesList.Builder
mergeFrom(BytesList) - 类中的方法org.tensorflow.example.BytesList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.example.BytesList.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.example.Example.Builder
mergeFrom(Example) - 类中的方法org.tensorflow.example.Example.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.example.Example.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
mergeFrom(ExampleParserConfiguration) - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.example.Feature.Builder
mergeFrom(Feature) - 类中的方法org.tensorflow.example.Feature.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.example.Feature.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder
mergeFrom(FeatureConfiguration) - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.example.FeatureList.Builder
mergeFrom(FeatureList) - 类中的方法org.tensorflow.example.FeatureList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.example.FeatureList.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.example.FeatureLists.Builder
mergeFrom(FeatureLists) - 类中的方法org.tensorflow.example.FeatureLists.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.example.FeatureLists.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.example.Features.Builder
mergeFrom(Features) - 类中的方法org.tensorflow.example.Features.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.example.Features.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
mergeFrom(FixedLenFeatureProto) - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.example.FloatList.Builder
mergeFrom(FloatList) - 类中的方法org.tensorflow.example.FloatList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.example.FloatList.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.example.Int64List.Builder
mergeFrom(Int64List) - 类中的方法org.tensorflow.example.Int64List.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.example.Int64List.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.example.SequenceExample.Builder
mergeFrom(SequenceExample) - 类中的方法org.tensorflow.example.SequenceExample.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.example.SequenceExample.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder
mergeFrom(VarLenFeatureProto) - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.AllocationDescription.Builder
mergeFrom(AllocationDescription) - 类中的方法org.tensorflow.framework.AllocationDescription.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.AllocationDescription.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.AllocationRecord.Builder
mergeFrom(AllocationRecord) - 类中的方法org.tensorflow.framework.AllocationRecord.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.AllocationRecord.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
mergeFrom(AllocatorMemoryUsed) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder
mergeFrom(ApiDef.Arg) - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder
mergeFrom(ApiDef.Attr) - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.ApiDef.Builder
mergeFrom(ApiDef) - 类中的方法org.tensorflow.framework.ApiDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.ApiDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
mergeFrom(ApiDef.Endpoint) - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.ApiDefs.Builder
mergeFrom(ApiDefs) - 类中的方法org.tensorflow.framework.ApiDefs.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.ApiDefs.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.AssetFileDef.Builder
mergeFrom(AssetFileDef) - 类中的方法org.tensorflow.framework.AssetFileDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.AssetFileDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.AttrValue.Builder
mergeFrom(AttrValue) - 类中的方法org.tensorflow.framework.AttrValue.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.AttrValue.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
mergeFrom(AttrValue.ListValue) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder
mergeFrom(AutoParallelOptions) - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.CallableOptions.Builder
mergeFrom(CallableOptions) - 类中的方法org.tensorflow.framework.CallableOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.CallableOptions.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
mergeFrom(CollectionDef.AnyList) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.CollectionDef.Builder
mergeFrom(CollectionDef) - 类中的方法org.tensorflow.framework.CollectionDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.CollectionDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
mergeFrom(CollectionDef.BytesList) - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
mergeFrom(CollectionDef.FloatList) - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder
mergeFrom(CollectionDef.Int64List) - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
mergeFrom(CollectionDef.NodeList) - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.CondContextDef.Builder
mergeFrom(CondContextDef) - 类中的方法org.tensorflow.framework.CondContextDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.CondContextDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.ConfigProto.Builder
mergeFrom(ConfigProto) - 类中的方法org.tensorflow.framework.ConfigProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.ConfigProto.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
mergeFrom(ConfigProto.Experimental) - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
mergeFrom(ControlFlowContextDef) - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.CostGraphDef.Builder
mergeFrom(CostGraphDef) - 类中的方法org.tensorflow.framework.CostGraphDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.CostGraphDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
mergeFrom(CostGraphDef.Node) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
mergeFrom(CostGraphDef.Node.InputInfo) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
mergeFrom(CostGraphDef.Node.OutputInfo) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder
mergeFrom(CriticalSectionDef) - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
mergeFrom(CriticalSectionExecutionDef) - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
mergeFrom(DebuggedSourceFile) - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
mergeFrom(DebuggedSourceFiles) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.DebugOptions.Builder
mergeFrom(DebugOptions) - 类中的方法org.tensorflow.framework.DebugOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.DebugOptions.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder
mergeFrom(DebugTensorWatch) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder
mergeFrom(DeviceAttributes) - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.DeviceLocality.Builder
mergeFrom(DeviceLocality) - 类中的方法org.tensorflow.framework.DeviceLocality.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.DeviceLocality.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder
mergeFrom(DeviceStepStats) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.FunctionDef.Builder
mergeFrom(FunctionDef) - 类中的方法org.tensorflow.framework.FunctionDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.FunctionDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
mergeFrom(FunctionDefLibrary) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.GPUOptions.Builder
mergeFrom(GPUOptions) - 类中的方法org.tensorflow.framework.GPUOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.GPUOptions.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
mergeFrom(GPUOptions.Experimental) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
mergeFrom(GPUOptions.Experimental.VirtualDevices) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.GradientDef.Builder
mergeFrom(GradientDef) - 类中的方法org.tensorflow.framework.GradientDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.GradientDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.GraphDef.Builder
mergeFrom(GraphDef) - 类中的方法org.tensorflow.framework.GraphDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.GraphDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.GraphOptions.Builder
mergeFrom(GraphOptions) - 类中的方法org.tensorflow.framework.GraphOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.GraphOptions.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
mergeFrom(GraphTransferConstNodeInfo) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
mergeFrom(GraphTransferGraphInputNodeInfo) - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
mergeFrom(GraphTransferGraphOutputNodeInfo) - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder
mergeFrom(GraphTransferInfo) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
mergeFrom(GraphTransferNodeInfo) - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder
mergeFrom(GraphTransferNodeInput) - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
mergeFrom(GraphTransferNodeInputInfo) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
mergeFrom(GraphTransferNodeOutputInfo) - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.HistogramProto.Builder
mergeFrom(HistogramProto) - 类中的方法org.tensorflow.framework.HistogramProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.HistogramProto.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.InterconnectLink.Builder
mergeFrom(InterconnectLink) - 类中的方法org.tensorflow.framework.InterconnectLink.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.InterconnectLink.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
mergeFrom(KernelDef.AttrConstraint) - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.KernelDef.Builder
mergeFrom(KernelDef) - 类中的方法org.tensorflow.framework.KernelDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.KernelDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.KernelList.Builder
mergeFrom(KernelList) - 类中的方法org.tensorflow.framework.KernelList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.KernelList.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.LocalLinks.Builder
mergeFrom(LocalLinks) - 类中的方法org.tensorflow.framework.LocalLinks.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.LocalLinks.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
mergeFrom(MemoryLogRawAllocation) - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
mergeFrom(MemoryLogRawDeallocation) - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder
mergeFrom(MemoryLogStep) - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
mergeFrom(MemoryLogTensorAllocation) - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
mergeFrom(MemoryLogTensorDeallocation) - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
mergeFrom(MemoryLogTensorOutput) - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.MemoryStats.Builder
mergeFrom(MemoryStats) - 类中的方法org.tensorflow.framework.MemoryStats.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.MemoryStats.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
mergeFrom(MetaGraphDef) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
mergeFrom(MetaGraphDef.MetaInfoDef) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.NameAttrList.Builder
mergeFrom(NameAttrList) - 类中的方法org.tensorflow.framework.NameAttrList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.NameAttrList.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder
mergeFrom(NamedTensorProto) - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.NodeDef.Builder
mergeFrom(NodeDef) - 类中的方法org.tensorflow.framework.NodeDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.NodeDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder
mergeFrom(NodeExecStats) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.NodeOutput.Builder
mergeFrom(NodeOutput) - 类中的方法org.tensorflow.framework.NodeOutput.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.NodeOutput.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
mergeFrom(OpDef.ArgDef) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
mergeFrom(OpDef.AttrDef) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.OpDef.Builder
mergeFrom(OpDef) - 类中的方法org.tensorflow.framework.OpDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.OpDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.OpDeprecation.Builder
mergeFrom(OpDeprecation) - 类中的方法org.tensorflow.framework.OpDeprecation.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.OpDeprecation.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.OpList.Builder
mergeFrom(OpList) - 类中的方法org.tensorflow.framework.OpList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.OpList.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder
mergeFrom(OptimizerOptions) - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder
mergeFrom(QueueRunnerDef) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder
mergeFrom(ReaderBaseState) - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
mergeFrom(RemoteFusedGraphExecuteInfo) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
mergeFrom(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder
mergeFrom(ResourceHandleProto) - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder
mergeFrom(RewriterConfig) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
mergeFrom(RewriterConfig.CustomGraphOptimizer) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.RPCOptions.Builder
mergeFrom(RPCOptions) - 类中的方法org.tensorflow.framework.RPCOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.RPCOptions.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.RunMetadata.Builder
mergeFrom(RunMetadata) - 类中的方法org.tensorflow.framework.RunMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.RunMetadata.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.RunOptions.Builder
mergeFrom(RunOptions) - 类中的方法org.tensorflow.framework.RunOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.RunOptions.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.RunOptions.Experimental.Builder
mergeFrom(RunOptions.Experimental) - 类中的方法org.tensorflow.framework.RunOptions.Experimental.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.RunOptions.Experimental.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.SavedModel.Builder
mergeFrom(SavedModel) - 类中的方法org.tensorflow.framework.SavedModel.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.SavedModel.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
mergeFrom(SaveSliceInfoDef) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
mergeFrom(ScopedAllocatorOptions) - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.SignatureDef.Builder
mergeFrom(SignatureDef) - 类中的方法org.tensorflow.framework.SignatureDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.SignatureDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.StepStats.Builder
mergeFrom(StepStats) - 类中的方法org.tensorflow.framework.StepStats.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.StepStats.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.Summary.Audio.Builder
mergeFrom(Summary.Audio) - 类中的方法org.tensorflow.framework.Summary.Audio.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.Summary.Audio.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.Summary.Builder
mergeFrom(Summary) - 类中的方法org.tensorflow.framework.Summary.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.Summary.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.Summary.Image.Builder
mergeFrom(Summary.Image) - 类中的方法org.tensorflow.framework.Summary.Image.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.Summary.Image.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.Summary.Value.Builder
mergeFrom(Summary.Value) - 类中的方法org.tensorflow.framework.Summary.Value.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.Summary.Value.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.SummaryDescription.Builder
mergeFrom(SummaryDescription) - 类中的方法org.tensorflow.framework.SummaryDescription.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.SummaryDescription.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder
mergeFrom(SummaryMetadata) - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
mergeFrom(SummaryMetadata.PluginData) - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.TensorConnection.Builder
mergeFrom(TensorConnection) - 类中的方法org.tensorflow.framework.TensorConnection.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.TensorConnection.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.TensorDescription.Builder
mergeFrom(TensorDescription) - 类中的方法org.tensorflow.framework.TensorDescription.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.TensorDescription.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.TensorInfo.Builder
mergeFrom(TensorInfo) - 类中的方法org.tensorflow.framework.TensorInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.TensorInfo.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
mergeFrom(TensorInfo.CooSparse) - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.TensorProto.Builder
mergeFrom(TensorProto) - 类中的方法org.tensorflow.framework.TensorProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.TensorProto.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder
mergeFrom(TensorShapeProto) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
mergeFrom(TensorShapeProto.Dim) - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder
mergeFrom(TensorSliceProto) - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
mergeFrom(TensorSliceProto.Extent) - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
mergeFrom(ThreadPoolOptionProto) - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.ValuesDef.Builder
mergeFrom(ValuesDef) - 类中的方法org.tensorflow.framework.ValuesDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.ValuesDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.VariableDef.Builder
mergeFrom(VariableDef) - 类中的方法org.tensorflow.framework.VariableDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.VariableDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
mergeFrom(VariantTensorDataProto) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.VersionDef.Builder
mergeFrom(VersionDef) - 类中的方法org.tensorflow.framework.VersionDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.VersionDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder
mergeFrom(WhileContextDef) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder
mergeFrom(BundleEntryProto) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder
mergeFrom(BundleHeaderProto) - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder
mergeFrom(IteratorStateMetadata) - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder
mergeFrom(Message) - 类中的方法org.tensorflow.util.SaverDef.Builder
mergeFrom(SaverDef) - 类中的方法org.tensorflow.util.SaverDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法org.tensorflow.util.SaverDef.Builder
mergeFrom(Message) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
mergeFrom(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
mergeFrom(Message) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
mergeFrom(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
mergeFrom(Message) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
mergeFrom(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
mergeFrom(Message) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
mergeFrom(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
mergeFrom(Message) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
mergeFrom(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
mergeFrom(Message) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
mergeFrom(DevicePropertiesProtos.DeviceProperties) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
mergeFrom(Message) - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
mergeFrom(DevicePropertiesProtos.NamedDevice) - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
mergeFrom(Message) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
mergeFrom(EagerServiceOuterClass.CloseContextRequest) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
mergeFrom(Message) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
mergeFrom(EagerServiceOuterClass.CloseContextResponse) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
mergeFrom(Message) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
mergeFrom(EagerServiceOuterClass.CreateContextRequest) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
mergeFrom(Message) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
mergeFrom(EagerServiceOuterClass.CreateContextResponse) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
mergeFrom(Message) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
mergeFrom(EagerServiceOuterClass.EnqueueRequest) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
mergeFrom(Message) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
mergeFrom(EagerServiceOuterClass.EnqueueResponse) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
mergeFrom(Message) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
mergeFrom(EagerServiceOuterClass.KeepAliveRequest) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
mergeFrom(Message) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
mergeFrom(EagerServiceOuterClass.KeepAliveResponse) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
mergeFrom(Message) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
mergeFrom(EagerServiceOuterClass.Operation) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
mergeFrom(Message) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
mergeFrom(EagerServiceOuterClass.QueueItem) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
mergeFrom(Message) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
mergeFrom(EagerServiceOuterClass.QueueResponse) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
mergeFrom(Message) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
mergeFrom(EagerServiceOuterClass.RegisterFunctionRequest) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
mergeFrom(Message) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
mergeFrom(EagerServiceOuterClass.RegisterFunctionResponse) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
mergeFrom(Message) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
mergeFrom(EagerServiceOuterClass.RemoteTensorHandle) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
mergeFrom(Message) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
mergeFrom(EagerServiceOuterClass.SendTensorRequest) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
mergeFrom(Message) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse.Builder
mergeFrom(EagerServiceOuterClass.SendTensorResponse) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse.Builder
mergeFrom(Message) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
mergeFrom(EagerServiceOuterClass.WaitQueueDoneRequest) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
mergeFrom(Message) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
mergeFrom(EagerServiceOuterClass.WaitQueueDoneResponse) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.Classification.Class.Builder
mergeFrom(Classification.Class) - 类中的方法tensorflow.serving.Classification.Class.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.Classification.Class.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
mergeFrom(Classification.ClassificationRequest) - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
mergeFrom(Classification.ClassificationResponse) - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder
mergeFrom(Classification.ClassificationResult) - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.Classification.Classifications.Builder
mergeFrom(Classification.Classifications) - 类中的方法tensorflow.serving.Classification.Classifications.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.Classification.Classifications.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
mergeFrom(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
mergeFrom(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder
mergeFrom(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
mergeFrom(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder
mergeFrom(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
mergeFrom(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
mergeFrom(GetModelMetadata.GetModelMetadataRequest) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
mergeFrom(GetModelMetadata.GetModelMetadataResponse) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
mergeFrom(GetModelMetadata.SignatureDefMap) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
mergeFrom(GetModelStatus.GetModelStatusRequest) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
mergeFrom(GetModelStatus.GetModelStatusResponse) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
mergeFrom(GetModelStatus.ModelVersionStatus) - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder
mergeFrom(Inference.InferenceResult) - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder
mergeFrom(Inference.InferenceTask) - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
mergeFrom(Inference.MultiInferenceRequest) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
mergeFrom(Inference.MultiInferenceResponse) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
mergeFrom(InputOuterClass.ExampleList) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
mergeFrom(InputOuterClass.ExampleListWithContext) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder
mergeFrom(InputOuterClass.Input) - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
mergeFrom(SerializedInputOuterClass.SerializedExampleList) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
mergeFrom(SerializedInputOuterClass.SerializedExampleListWithContext) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
mergeFrom(SerializedInputOuterClass.SerializedInput) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
mergeFrom(LogCollectorConfigOuterClass.LogCollectorConfig) - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder
mergeFrom(Logging.LogMetadata) - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
mergeFrom(LoggingConfigOuterClass.LoggingConfig) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder
mergeFrom(LoggingConfigOuterClass.SamplingConfig) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.Model.ModelSpec.Builder
mergeFrom(Model.ModelSpec) - 类中的方法tensorflow.serving.Model.ModelSpec.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.Model.ModelSpec.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
mergeFrom(ModelManagement.ReloadConfigRequest) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
mergeFrom(ModelManagement.ReloadConfigResponse) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
mergeFrom(ModelServerConfigOuterClass.ModelConfig) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
mergeFrom(ModelServerConfigOuterClass.ModelConfigList) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
mergeFrom(ModelServerConfigOuterClass.ModelServerConfig) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
mergeFrom(PlatformConfigOuterClass.PlatformConfig) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
mergeFrom(PlatformConfigOuterClass.PlatformConfigMap) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder
mergeFrom(Predict.PredictRequest) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder
mergeFrom(Predict.PredictResponse) - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
mergeFrom(PredictionLogOuterClass.ClassifyLog) - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
mergeFrom(PredictionLogOuterClass.MultiInferenceLog) - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
mergeFrom(PredictionLogOuterClass.PredictionLog) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
mergeFrom(PredictionLogOuterClass.PredictLog) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
mergeFrom(PredictionLogOuterClass.RegressLog) - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
mergeFrom(PredictionLogOuterClass.SessionRunLog) - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder
mergeFrom(RegressionOuterClass.Regression) - 类中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
mergeFrom(RegressionOuterClass.RegressionRequest) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
mergeFrom(RegressionOuterClass.RegressionResponse) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
mergeFrom(RegressionOuterClass.RegressionResult) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
mergeFrom(SessionServiceOuterClass.SessionRunRequest) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
mergeFrom(SessionServiceOuterClass.SessionRunResponse) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
mergeFrom(SslConfig.SSLConfig) - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
mergeFrom(StaticStoragePathSource.StaticStoragePathSourceConfig) - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
mergeFrom(Message) - 类中的方法tensorflow.serving.Status.StatusProto.Builder
mergeFrom(Status.StatusProto) - 类中的方法tensorflow.serving.Status.StatusProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.serving.Status.StatusProto.Builder
mergeFrom(Message) - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder
mergeFrom(TransportOptions.RecvBufRespExtra) - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder
mergeFunc(NameAttrList) - 类中的方法org.tensorflow.framework.AttrValue.Builder: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
mergeFunctionDef(FunctionDef) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder: .tensorflow.FunctionDef function_def = 2;
mergeGpuOptions(GPUOptions) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply to all GPUs.
mergeGraphDef(GraphDef) - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder: The initial graph definition.
mergeGraphDef(GraphDef) - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder: REQUIRED: The nodes to be added to the session's graph.
mergeGraphDef(GraphDef) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: "graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.
mergeGraphDef(GraphDef) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: GraphDef.
mergeGraphOptions(GraphOptions) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Configuration options for the session in which this graph was created.
mergeGraphOptions(GraphOptions) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply to all graphs.
mergeHandleToDecref(EagerServiceOuterClass.RemoteTensorHandle) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder: .tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
mergeHisto(HistogramProto) - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
mergeImage(Summary.Image) - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
mergeInput(InputOuterClass.Input) - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder: Input data.
mergeInput(InputOuterClass.Input) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Input data.
mergeInput(InputOuterClass.Input) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder: Input data.
mergeInt64List(Int64List) - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.Int64List int64_list = 3;
mergeInt64List(CollectionDef.Int64List) - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
mergeLatest(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest latest = 100;
mergeLibrary(FunctionDefLibrary) - 类中的方法org.tensorflow.framework.GraphDef.Builder: EXPERIMENTAL.
mergeLinks(LocalLinks) - 类中的方法org.tensorflow.framework.DeviceLocality.Builder: Optional local interconnect links to other devices.
mergeList(AttrValue.ListValue) - 类中的方法org.tensorflow.framework.AttrValue.Builder: any "list(...)"
mergeLocality(DeviceLocality) - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
mergeLogCollectorConfig(LogCollectorConfigOuterClass.LogCollectorConfig) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder: .tensorflow.serving.LogCollectorConfig log_collector_config = 1;
mergeLoggingConfig(LoggingConfigOuterClass.LoggingConfig) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Configures logging requests and responses, to the model.
mergeLogMetadata(Logging.LogMetadata) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.LogMetadata log_metadata = 1;
mergeMemoryStats(MemoryStats) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
mergeMetadata(RunMetadata) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Returned metadata if requested in the options.
mergeMetadata(RunMetadata) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: Returned metadata if requested in the options.
mergeMetadata(SummaryMetadata) - 类中的方法org.tensorflow.framework.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
mergeMetadata(RunMetadata) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: Returned metadata if requested in the options.
mergeMetaInfoDef(MetaGraphDef.MetaInfoDef) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
mergeModelConfigList(ModelServerConfigOuterClass.ModelConfigList) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder: .tensorflow.serving.ModelConfigList model_config_list = 1;
mergeModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder: Model Specification.
mergeModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder: Effective Model Specification used for classification.
mergeModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder: Model Specification indicating which model we are querying for metadata.
mergeModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder: Model Specification indicating which model this metadata belongs to.
mergeModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder: Model Specification.
mergeModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.ModelSpec model_spec = 1;
mergeModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder: Model Specification.
mergeModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder: .tensorflow.serving.ModelSpec model_spec = 1;
mergeModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Model Specification.
mergeModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder: Effective Model Specification used to process PredictRequest.
mergeModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder: Model Specification.
mergeModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder: Effective Model Specification used for regression.
mergeModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Model Specification.
mergeModelVersionPolicy(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Version policy for the model indicating which version(s) of the model to load and make available for serving simultaneously.
mergeMultiInferenceLog(PredictionLogOuterClass.MultiInferenceLog) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.MultiInferenceLog multi_inference_log = 4;
mergeNodeList(CollectionDef.NodeList) - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
mergeOperation(EagerServiceOuterClass.Operation) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder: .tensorflow.eager.Operation operation = 2;
mergeOptimizerOptions(OptimizerOptions) - 类中的方法org.tensorflow.framework.GraphOptions.Builder: Options controlling how graph is optimized.
mergeOptions(CallableOptions) - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder: Options that define the behavior of the created callable.
mergeOptions(RunOptions) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Options for the run call.
mergeOptions(TraceOpts) - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder: .tensorflow.TraceOpts options = 1;
mergeOptions(RunOptions) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Options for the run call.
mergePluginData(SummaryMetadata.PluginData) - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
mergePredictLog(PredictionLogOuterClass.PredictLog) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.PredictLog predict_log = 6;
mergeProperties(DevicePropertiesProtos.DeviceProperties) - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
mergeRegressionResult(RegressionOuterClass.RegressionResult) - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.RegressionResult regression_result = 3;
mergeRegressLog(PredictionLogOuterClass.RegressLog) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.RegressLog regress_log = 3;
mergeRemoteGraph(GraphDef) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Definition of remote graph .tensorflow.GraphDef remote_graph = 1;
mergeRequest(Classification.ClassificationRequest) - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder: .tensorflow.serving.ClassificationRequest request = 1;
mergeRequest(Inference.MultiInferenceRequest) - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder: .tensorflow.serving.MultiInferenceRequest request = 1;
mergeRequest(Predict.PredictRequest) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder: .tensorflow.serving.PredictRequest request = 1;
mergeRequest(RegressionOuterClass.RegressionRequest) - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder: .tensorflow.serving.RegressionRequest request = 1;
mergeRequest(SessionServiceOuterClass.SessionRunRequest) - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder: .tensorflow.serving.SessionRunRequest request = 1;
mergeResponse(Classification.ClassificationResponse) - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder: .tensorflow.serving.ClassificationResponse response = 2;
mergeResponse(Inference.MultiInferenceResponse) - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder: .tensorflow.serving.MultiInferenceResponse response = 2;
mergeResponse(Predict.PredictResponse) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder: .tensorflow.serving.PredictResponse response = 2;
mergeResponse(RegressionOuterClass.RegressionResponse) - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder: .tensorflow.serving.RegressionResponse response = 2;
mergeResponse(SessionServiceOuterClass.SessionRunResponse) - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder: .tensorflow.serving.SessionRunResponse response = 2;
mergeResult(Classification.ClassificationResult) - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder: Result of the classification.
mergeResult(RegressionOuterClass.RegressionResult) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder: .tensorflow.serving.RegressionResult result = 1;
mergeRewriteOptions(RewriterConfig) - 类中的方法org.tensorflow.framework.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
mergeRpcOptions(RPCOptions) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
mergeRunOptions(RunOptions) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Options that will be applied to each run.
mergeSamplingConfig(LoggingConfigOuterClass.SamplingConfig) - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder: TODO(b/33279154): Add more metadata as mentioned in the bug.
mergeSamplingConfig(LoggingConfigOuterClass.SamplingConfig) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder: .tensorflow.serving.SamplingConfig sampling_config = 2;
mergeSaverDef(SaverDef) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: SaverDef.
mergeSaveSliceInfoDef(SaveSliceInfoDef) - 类中的方法org.tensorflow.framework.VariableDef.Builder: Support for saving variables as slices of a larger variable.
mergeScopedAllocatorOpts(ScopedAllocatorOptions) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
mergeServableVersionPolicy(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder: The policy to determines the number of versions of the servable to be served at the same time.
mergeServerDef(ServerDef) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder: Defines the configuration of a TensorFlow worker.
mergeServerDef(ServerDef) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: Identifies the full cluster, and this particular worker's position within.
mergeServerLocality(DeviceLocality) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional information on server-side device locality.
mergeServerLocality(DeviceLocality) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information on server-side device locality.
mergeSessionRunLog(PredictionLogOuterClass.SessionRunLog) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.SessionRunLog session_run_log = 5;
mergeShape(TensorShapeProto) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: .tensorflow.TensorShapeProto shape = 4;
mergeShape(TensorShapeProto) - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
mergeShape(TensorShapeProto) - 类中的方法org.tensorflow.framework.AttrValue.Builder: "shape" .tensorflow.TensorShapeProto shape = 7;
mergeShape(TensorShapeProto) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
mergeShape(TensorShapeProto) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder: .tensorflow.TensorShapeProto shape = 2;
mergeShape(TensorShapeProto) - 类中的方法org.tensorflow.framework.TensorDescription.Builder: Shape of the tensor.
mergeShape(TensorShapeProto) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
mergeSignature(OpDef) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
mergeSourceAdapterConfig(Any) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder: The config proto for a SourceAdapter in the StoragePathSourceAdapter registry.
mergeSpecific(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific specific = 102;
mergeStatus(Status.StatusProto) - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder: Model status.
mergeStatus(Status.StatusProto) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder: .tensorflow.serving.StatusProto status = 1;
mergeStepStats(StepStats) - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder: .tensorflow.StepStats step_stats = 2;
mergeStepStats(StepStats) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.
mergeStepStats(StepStats) - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Statistics traced for this step.
mergeStrippedOpList(OpList) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
mergeTensor(TensorProto) - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder: The tensor as a proto.
mergeTensor(TensorProto) - 类中的方法org.tensorflow.framework.AttrValue.Builder: "tensor" .tensorflow.TensorProto tensor = 8;
mergeTensor(TensorDescription) - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder: Allocated tensor details.
mergeTensor(TensorDescription) - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder: Output tensor details.
mergeTensor(TensorProto) - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
mergeTensor(TensorProto) - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
mergeTensorDescription(TensorDescription) - 类中的方法org.tensorflow.framework.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
mergeTensorInfo(TensorInfo) - 类中的方法org.tensorflow.framework.AssetFileDef.Builder: The tensor to bind the asset filename to.
mergeTensorShape(TensorShapeProto) - 类中的方法org.tensorflow.framework.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
mergeTensorShape(TensorShapeProto) - 类中的方法org.tensorflow.framework.TensorProto.Builder: Shape of the tensor.
mergeTransportOptions(Any) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional, implementation-specific data.
mergeTransportOptions(Any) - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder: Optional, implementation-specific data.
mergeTransportOptions(Any) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information needed by the RPC subsystem.
mergeTransportOptions(Any) - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder: Optional additional information about how to receive the tensor, e.g. in the event that `RecvTensorRequest.dma_ok` was true.
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CleanupAllResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CloseSessionResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.GetStatusRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.JobDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.ResetResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.ServerDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.StepSequence.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.TracingResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.BytesList.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.Example.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.Feature.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.FeatureList.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.FeatureLists.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.Features.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.FloatList.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.Int64List.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.SequenceExample.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.AllocationDescription.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.AllocationRecord.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ApiDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ApiDefs.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.AssetFileDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.AttrValue.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CallableOptions.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CollectionDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CondContextDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ConfigProto.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CostGraphDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.DebugOptions.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.DeviceLocality.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.FunctionDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GPUOptions.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GradientDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GraphDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GraphOptions.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.HistogramProto.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.InterconnectLink.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.KernelDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.KernelList.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.LocalLinks.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.MemoryStats.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.NameAttrList.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.NodeDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.NodeOutput.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.OpDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.OpDeprecation.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.OpList.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.RPCOptions.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.RunMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.RunOptions.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.RunOptions.Experimental.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.SavedModel.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.SignatureDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.StepStats.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.Summary.Audio.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.Summary.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.Summary.Image.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.Summary.Value.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.SummaryDescription.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.TensorConnection.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.TensorDescription.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.TensorInfo.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.TensorProto.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ValuesDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.VariableDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.VersionDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.util.SaverDef.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Classification.Class.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Classification.Classifications.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Model.ModelSpec.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Status.StatusProto.Builder
mergeUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder
mergeValuesDef(ValuesDef) - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Values and external values in control flow context.
mergeValuesDef(ValuesDef) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Values and external values in control flow context.
mergeVarLenFeature(VarLenFeatureProto) - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
mergeVersion(VersionDef) - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
mergeVersion(Int64Value) - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: Use this specific version number.
mergeVersionDef(VersionDef) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: This is the version for all the ops that will be enqueued by the client.
mergeVersions(VersionDef) - 类中的方法org.tensorflow.framework.GraphDef.Builder: Compatibility versions of the graph.
mergeWhileCtxt(WhileContextDef) - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
META_GRAPH_VERSION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MetaGraphDef.MetaInfoDef
META_GRAPHS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.SavedModel
META_INFO_DEF_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MetaGraphDef
META_OPTIMIZER_ITERATIONS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RewriterConfig
METADATA_FIELD_FIELD_NUMBER - 类中的静态变量tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
METADATA_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunCallableResponse
METADATA_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunStepResponse
METADATA_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.Summary.Value
METADATA_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.VariantTensorDataProto
METADATA_FIELD_NUMBER - 类中的静态变量tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
METADATA_FIELD_NUMBER - 类中的静态变量tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
MetaGraphDef - org.tensorflow.framework中的类: NOTE: This protocol buffer is evolving, and will go through revisions in the coming months.
MetaGraphDef.Builder - org.tensorflow.framework中的类: NOTE: This protocol buffer is evolving, and will go through revisions in the coming months.
MetaGraphDef.MetaInfoDef - org.tensorflow.framework中的类: Meta information regarding the graph to be exported.
MetaGraphDef.MetaInfoDef.Builder - org.tensorflow.framework中的类: Meta information regarding the graph to be exported.
MetaGraphDef.MetaInfoDefOrBuilder - org.tensorflow.framework中的接口
MetaGraphDefOrBuilder - org.tensorflow.framework中的接口
MetaGraphProtos - org.tensorflow.framework中的类
METHOD_CLASSIFY - 类中的静态变量tensorflow.serving.PredictionServiceGrpc: 已过时。
METHOD_CLEANUP_ALL - 类中的静态变量org.tensorflow.distruntime.WorkerServiceGrpc: 已过时。
METHOD_CLEANUP_GRAPH - 类中的静态变量org.tensorflow.distruntime.WorkerServiceGrpc: 已过时。
METHOD_CLOSE_CONTEXT - 类中的静态变量tensorflow.eager.EagerServiceGrpc: 已过时。
METHOD_CLOSE_SESSION - 类中的静态变量org.tensorflow.distruntime.MasterServiceGrpc: 已过时。
METHOD_COMPLETE_GROUP - 类中的静态变量org.tensorflow.distruntime.WorkerServiceGrpc: 已过时。
METHOD_COMPLETE_INSTANCE - 类中的静态变量org.tensorflow.distruntime.WorkerServiceGrpc: 已过时。
METHOD_CREATE_CONTEXT - 类中的静态变量tensorflow.eager.EagerServiceGrpc: 已过时。
METHOD_CREATE_SESSION - 类中的静态变量org.tensorflow.distruntime.MasterServiceGrpc: 已过时。
METHOD_CREATE_WORKER_SESSION - 类中的静态变量org.tensorflow.distruntime.WorkerServiceGrpc: 已过时。
METHOD_DELETE_WORKER_SESSION - 类中的静态变量org.tensorflow.distruntime.WorkerServiceGrpc: 已过时。
METHOD_DEREGISTER_GRAPH - 类中的静态变量org.tensorflow.distruntime.WorkerServiceGrpc: 已过时。
METHOD_ENQUEUE - 类中的静态变量tensorflow.eager.EagerServiceGrpc: 已过时。
METHOD_EXTEND_SESSION - 类中的静态变量org.tensorflow.distruntime.MasterServiceGrpc: 已过时。
METHOD_GET_MODEL_METADATA - 类中的静态变量tensorflow.serving.PredictionServiceGrpc: 已过时。
METHOD_GET_MODEL_STATUS - 类中的静态变量tensorflow.serving.ModelServiceGrpc: 已过时。
METHOD_GET_STATUS - 类中的静态变量org.tensorflow.distruntime.WorkerServiceGrpc: 已过时。
METHOD_GET_STEP_SEQUENCE - 类中的静态变量org.tensorflow.distruntime.WorkerServiceGrpc: 已过时。
METHOD_HANDLE_RELOAD_CONFIG_REQUEST - 类中的静态变量tensorflow.serving.ModelServiceGrpc: 已过时。
METHOD_KEEP_ALIVE - 类中的静态变量tensorflow.eager.EagerServiceGrpc: 已过时。
METHOD_LIST_DEVICES - 类中的静态变量org.tensorflow.distruntime.MasterServiceGrpc: 已过时。
METHOD_LOGGING - 类中的静态变量org.tensorflow.distruntime.WorkerServiceGrpc: 已过时。
METHOD_MAKE_CALLABLE - 类中的静态变量org.tensorflow.distruntime.MasterServiceGrpc: 已过时。
METHOD_MULTI_INFERENCE - 类中的静态变量tensorflow.serving.PredictionServiceGrpc: 已过时。
METHOD_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.SignatureDef
METHOD_NAME_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Inference.InferenceTask
METHOD_PARTIAL_RUN_SETUP - 类中的静态变量org.tensorflow.distruntime.MasterServiceGrpc: 已过时。
METHOD_PREDICT - 类中的静态变量tensorflow.serving.PredictionServiceGrpc: 已过时。
METHOD_RECV_BUF - 类中的静态变量org.tensorflow.distruntime.WorkerServiceGrpc: 已过时。
METHOD_RECV_TENSOR - 类中的静态变量org.tensorflow.distruntime.WorkerServiceGrpc: 已过时。
METHOD_REGISTER_FUNCTION - 类中的静态变量tensorflow.eager.EagerServiceGrpc: 已过时。
METHOD_REGISTER_GRAPH - 类中的静态变量org.tensorflow.distruntime.WorkerServiceGrpc: 已过时。
METHOD_REGRESS - 类中的静态变量tensorflow.serving.PredictionServiceGrpc: 已过时。
METHOD_RELEASE_CALLABLE - 类中的静态变量org.tensorflow.distruntime.MasterServiceGrpc: 已过时。
METHOD_RESET - 类中的静态变量org.tensorflow.distruntime.MasterServiceGrpc: 已过时。
METHOD_RUN_CALLABLE - 类中的静态变量org.tensorflow.distruntime.MasterServiceGrpc: 已过时。
METHOD_RUN_GRAPH - 类中的静态变量org.tensorflow.distruntime.WorkerServiceGrpc: 已过时。
METHOD_RUN_STEP - 类中的静态变量org.tensorflow.distruntime.MasterServiceGrpc: 已过时。
METHOD_SEND_TENSOR - 类中的静态变量tensorflow.eager.EagerServiceGrpc: 已过时。
METHOD_SESSION_RUN - 类中的静态变量tensorflow.serving.SessionServiceGrpc: 已过时。
METHOD_TRACING - 类中的静态变量org.tensorflow.distruntime.WorkerServiceGrpc: 已过时。
METHOD_WAIT_QUEUE_DONE - 类中的静态变量tensorflow.eager.EagerServiceGrpc: 已过时。
MIN_CONSUMER_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.VersionDef
MIN_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.HistogramProto
MIN_GRAPH_NODES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RewriterConfig
MINIMUM_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef.AttrDef
Model - tensorflow.serving中的类
Model.ModelSpec - tensorflow.serving中的类: Metadata for an inference request such as the model name and version.
Model.ModelSpec.Builder - tensorflow.serving中的类: Metadata for an inference request such as the model name and version.
Model.ModelSpec.VersionChoiceCase - tensorflow.serving中的枚举
Model.ModelSpecOrBuilder - tensorflow.serving中的接口
MODEL_CONFIG_LIST_FIELD_NUMBER - 类中的静态变量tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
MODEL_FIELD_NUMBER - 类中的静态变量tensorflow.DevicePropertiesProtos.DeviceProperties
MODEL_PLATFORM_FIELD_NUMBER - 类中的静态变量tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
MODEL_SPEC_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Classification.ClassificationRequest
MODEL_SPEC_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Classification.ClassificationResponse
MODEL_SPEC_FIELD_NUMBER - 类中的静态变量tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
MODEL_SPEC_FIELD_NUMBER - 类中的静态变量tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
MODEL_SPEC_FIELD_NUMBER - 类中的静态变量tensorflow.serving.GetModelStatus.GetModelStatusRequest
MODEL_SPEC_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Inference.InferenceResult
MODEL_SPEC_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Inference.InferenceTask
MODEL_SPEC_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Logging.LogMetadata
MODEL_SPEC_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Predict.PredictRequest
MODEL_SPEC_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Predict.PredictResponse
MODEL_SPEC_FIELD_NUMBER - 类中的静态变量tensorflow.serving.RegressionOuterClass.RegressionRequest
MODEL_SPEC_FIELD_NUMBER - 类中的静态变量tensorflow.serving.RegressionOuterClass.RegressionResponse
MODEL_SPEC_FIELD_NUMBER - 类中的静态变量tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
MODEL_TYPE_FIELD_NUMBER - 类中的静态变量tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
MODEL_TYPE_UNSPECIFIED_VALUE - 枚举中的静态变量tensorflow.serving.ModelServerConfigOuterClass.ModelType: MODEL_TYPE_UNSPECIFIED = 0 [deprecated = true];
MODEL_VERSION_POLICY_FIELD_NUMBER - 类中的静态变量tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
MODEL_VERSION_STATUS_FIELD_NUMBER - 类中的静态变量tensorflow.serving.GetModelStatus.GetModelStatusResponse
ModelManagement - tensorflow.serving中的类
ModelManagement.ReloadConfigRequest - tensorflow.serving中的类: Protobuf type tensorflow.serving.ReloadConfigRequest
ModelManagement.ReloadConfigRequest.Builder - tensorflow.serving中的类: Protobuf type tensorflow.serving.ReloadConfigRequest
ModelManagement.ReloadConfigRequestOrBuilder - tensorflow.serving中的接口
ModelManagement.ReloadConfigResponse - tensorflow.serving中的类: Protobuf type tensorflow.serving.ReloadConfigResponse
ModelManagement.ReloadConfigResponse.Builder - tensorflow.serving中的类: Protobuf type tensorflow.serving.ReloadConfigResponse
ModelManagement.ReloadConfigResponseOrBuilder - tensorflow.serving中的接口
ModelServerConfigOuterClass - tensorflow.serving中的类
ModelServerConfigOuterClass.ModelConfig - tensorflow.serving中的类: Common configuration for loading a model being served.
ModelServerConfigOuterClass.ModelConfig.Builder - tensorflow.serving中的类: Common configuration for loading a model being served.
ModelServerConfigOuterClass.ModelConfigList - tensorflow.serving中的类: Static list of models to be loaded for serving.
ModelServerConfigOuterClass.ModelConfigList.Builder - tensorflow.serving中的类: Static list of models to be loaded for serving.
ModelServerConfigOuterClass.ModelConfigListOrBuilder - tensorflow.serving中的接口
ModelServerConfigOuterClass.ModelConfigOrBuilder - tensorflow.serving中的接口
ModelServerConfigOuterClass.ModelServerConfig - tensorflow.serving中的类: ModelServer config.
ModelServerConfigOuterClass.ModelServerConfig.Builder - tensorflow.serving中的类: ModelServer config.
ModelServerConfigOuterClass.ModelServerConfig.ConfigCase - tensorflow.serving中的枚举
ModelServerConfigOuterClass.ModelServerConfigOrBuilder - tensorflow.serving中的接口
ModelServerConfigOuterClass.ModelType - tensorflow.serving中的枚举: The type of model.
ModelServiceGrpc - tensorflow.serving中的类: ModelService provides methods to query and update the state of the server, e.g. which models/versions are being served.
ModelServiceGrpc.ModelServiceBlockingStub - tensorflow.serving中的类: ModelService provides methods to query and update the state of the server, e.g. which models/versions are being served.
ModelServiceGrpc.ModelServiceFutureStub - tensorflow.serving中的类: ModelService provides methods to query and update the state of the server, e.g. which models/versions are being served.
ModelServiceGrpc.ModelServiceImplBase - tensorflow.serving中的类: ModelService provides methods to query and update the state of the server, e.g. which models/versions are being served.
ModelServiceGrpc.ModelServiceStub - tensorflow.serving中的类: ModelService provides methods to query and update the state of the server, e.g. which models/versions are being served.
ModelServiceImplBase() - 类的构造器tensorflow.serving.ModelServiceGrpc.ModelServiceImplBase
ModelServiceOuterClass - tensorflow.serving中的类
MULTI_INFERENCE_LOG_FIELD_NUMBER - 类中的静态变量tensorflow.serving.PredictionLogOuterClass.PredictionLog
multiInference(Inference.MultiInferenceRequest) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceBlockingStub: MultiInference API for multi-headed models.
multiInference(Inference.MultiInferenceRequest) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceFutureStub: MultiInference API for multi-headed models.
multiInference(Inference.MultiInferenceRequest, StreamObserver<Inference.MultiInferenceResponse>) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceImplBase: MultiInference API for multi-headed models.
multiInference(Inference.MultiInferenceRequest, StreamObserver<Inference.MultiInferenceResponse>) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceStub: MultiInference API for multi-headed models.

N

NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteInstanceRequest
NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.JobDef
NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ApiDef.Arg
NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ApiDef.Attr
NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ApiDef.Endpoint
NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef.Node
NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DeviceAttributes
NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferConstNodeInfo
NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferGraphInputNodeInfo
NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferNodeInfo
NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.KernelDef.AttrConstraint
NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NameAttrList
NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NamedTensorProto
NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeDef
NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef.ArgDef
NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef.AttrDef
NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef
NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ResourceHandleProto
NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorInfo
NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorShapeProto.Dim
NAME_FIELD_NUMBER - 类中的静态变量tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
NAME_FIELD_NUMBER - 类中的静态变量tensorflow.DevicePropertiesProtos.NamedDevice
NAME_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.Operation
NAME_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Model.ModelSpec
NAME_FIELD_NUMBER - 类中的静态变量tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
NameAttrList - org.tensorflow.framework中的类: A list of attr names and their values.
NameAttrList.Builder - org.tensorflow.framework中的类: A list of attr names and their values.
NameAttrListOrBuilder - org.tensorflow.framework中的接口
NamedTensorProto - org.tensorflow.framework中的类: A pair of tensor name and tensor values.
NamedTensorProto.Builder - org.tensorflow.framework中的类: A pair of tensor name and tensor values.
NamedTensorProtoOrBuilder - org.tensorflow.framework中的接口
NamedTensorProtos - org.tensorflow.framework中的类
NESTED_CONTEXTS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CondContextDef
NESTED_CONTEXTS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.WhileContextDef
NEW_GRAPH_VERSION_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.ExtendSessionResponse
newBlockingStub(Channel) - 类中的静态方法org.tensorflow.distruntime.MasterServiceGrpc: Creates a new blocking-style stub that supports unary and streaming output calls on the service
newBlockingStub(Channel) - 类中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc: Creates a new blocking-style stub that supports unary and streaming output calls on the service
newBlockingStub(Channel) - 类中的静态方法tensorflow.eager.EagerServiceGrpc: Creates a new blocking-style stub that supports unary and streaming output calls on the service
newBlockingStub(Channel) - 类中的静态方法tensorflow.serving.ModelServiceGrpc: Creates a new blocking-style stub that supports unary and streaming output calls on the service
newBlockingStub(Channel) - 类中的静态方法tensorflow.serving.PredictionServiceGrpc: Creates a new blocking-style stub that supports unary and streaming output calls on the service
newBlockingStub(Channel) - 类中的静态方法tensorflow.serving.SessionServiceGrpc: Creates a new blocking-style stub that supports unary and streaming output calls on the service
newBuilder() - 类中的静态方法org.tensorflow.distruntime.CleanupAllRequest
newBuilder(CleanupAllRequest) - 类中的静态方法org.tensorflow.distruntime.CleanupAllRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.CleanupAllResponse
newBuilder(CleanupAllResponse) - 类中的静态方法org.tensorflow.distruntime.CleanupAllResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.CleanupGraphRequest
newBuilder(CleanupGraphRequest) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.CleanupGraphResponse
newBuilder(CleanupGraphResponse) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.CloseSessionRequest
newBuilder(CloseSessionRequest) - 类中的静态方法org.tensorflow.distruntime.CloseSessionRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.CloseSessionResponse
newBuilder(CloseSessionResponse) - 类中的静态方法org.tensorflow.distruntime.CloseSessionResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.ClusterDef
newBuilder(ClusterDef) - 类中的静态方法org.tensorflow.distruntime.ClusterDef
newBuilder() - 类中的静态方法org.tensorflow.distruntime.CompleteGroupRequest
newBuilder(CompleteGroupRequest) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.CompleteGroupResponse
newBuilder(CompleteGroupResponse) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceRequest
newBuilder(CompleteInstanceRequest) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceResponse
newBuilder(CompleteInstanceResponse) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.CreateSessionRequest
newBuilder(CreateSessionRequest) - 类中的静态方法org.tensorflow.distruntime.CreateSessionRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.CreateSessionResponse
newBuilder(CreateSessionResponse) - 类中的静态方法org.tensorflow.distruntime.CreateSessionResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionRequest
newBuilder(CreateWorkerSessionRequest) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionResponse
newBuilder(CreateWorkerSessionResponse) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
newBuilder(DeleteWorkerSessionRequest) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
newBuilder(DeleteWorkerSessionResponse) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphRequest
newBuilder(DeregisterGraphRequest) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphResponse
newBuilder(DeregisterGraphResponse) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.ExecutorOpts
newBuilder(ExecutorOpts) - 类中的静态方法org.tensorflow.distruntime.ExecutorOpts
newBuilder() - 类中的静态方法org.tensorflow.distruntime.ExtendSessionRequest
newBuilder(ExtendSessionRequest) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.ExtendSessionResponse
newBuilder(ExtendSessionResponse) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.GetStatusRequest
newBuilder(GetStatusRequest) - 类中的静态方法org.tensorflow.distruntime.GetStatusRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.GetStatusResponse
newBuilder(GetStatusResponse) - 类中的静态方法org.tensorflow.distruntime.GetStatusResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceRequest
newBuilder(GetStepSequenceRequest) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceResponse
newBuilder(GetStepSequenceResponse) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.JobDef
newBuilder(JobDef) - 类中的静态方法org.tensorflow.distruntime.JobDef
newBuilder() - 类中的静态方法org.tensorflow.distruntime.LabeledStepStats
newBuilder(LabeledStepStats) - 类中的静态方法org.tensorflow.distruntime.LabeledStepStats
newBuilder() - 类中的静态方法org.tensorflow.distruntime.ListDevicesRequest
newBuilder(ListDevicesRequest) - 类中的静态方法org.tensorflow.distruntime.ListDevicesRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.ListDevicesResponse
newBuilder(ListDevicesResponse) - 类中的静态方法org.tensorflow.distruntime.ListDevicesResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.LoggingRequest
newBuilder(LoggingRequest) - 类中的静态方法org.tensorflow.distruntime.LoggingRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.LoggingResponse
newBuilder(LoggingResponse) - 类中的静态方法org.tensorflow.distruntime.LoggingResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.MakeCallableRequest
newBuilder(MakeCallableRequest) - 类中的静态方法org.tensorflow.distruntime.MakeCallableRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.MakeCallableResponse
newBuilder(MakeCallableResponse) - 类中的静态方法org.tensorflow.distruntime.MakeCallableResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupRequest
newBuilder(PartialRunSetupRequest) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupResponse
newBuilder(PartialRunSetupResponse) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.RecvBufRequest
newBuilder(RecvBufRequest) - 类中的静态方法org.tensorflow.distruntime.RecvBufRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.RecvBufResponse
newBuilder(RecvBufResponse) - 类中的静态方法org.tensorflow.distruntime.RecvBufResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.RecvTensorRequest
newBuilder(RecvTensorRequest) - 类中的静态方法org.tensorflow.distruntime.RecvTensorRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.RecvTensorResponse
newBuilder(RecvTensorResponse) - 类中的静态方法org.tensorflow.distruntime.RecvTensorResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.RegisterGraphRequest
newBuilder(RegisterGraphRequest) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.RegisterGraphResponse
newBuilder(RegisterGraphResponse) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableRequest
newBuilder(ReleaseCallableRequest) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableResponse
newBuilder(ReleaseCallableResponse) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.ResetRequest
newBuilder(ResetRequest) - 类中的静态方法org.tensorflow.distruntime.ResetRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.ResetResponse
newBuilder(ResetResponse) - 类中的静态方法org.tensorflow.distruntime.ResetResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.RunCallableRequest
newBuilder(RunCallableRequest) - 类中的静态方法org.tensorflow.distruntime.RunCallableRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.RunCallableResponse
newBuilder(RunCallableResponse) - 类中的静态方法org.tensorflow.distruntime.RunCallableResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.RunGraphRequest
newBuilder(RunGraphRequest) - 类中的静态方法org.tensorflow.distruntime.RunGraphRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.RunGraphResponse
newBuilder(RunGraphResponse) - 类中的静态方法org.tensorflow.distruntime.RunGraphResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.RunStepRequest
newBuilder(RunStepRequest) - 类中的静态方法org.tensorflow.distruntime.RunStepRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.RunStepResponse
newBuilder(RunStepResponse) - 类中的静态方法org.tensorflow.distruntime.RunStepResponse
newBuilder() - 类中的静态方法org.tensorflow.distruntime.ServerDef
newBuilder(ServerDef) - 类中的静态方法org.tensorflow.distruntime.ServerDef
newBuilder() - 类中的静态方法org.tensorflow.distruntime.StepSequence
newBuilder(StepSequence) - 类中的静态方法org.tensorflow.distruntime.StepSequence
newBuilder() - 类中的静态方法org.tensorflow.distruntime.TraceOpts
newBuilder(TraceOpts) - 类中的静态方法org.tensorflow.distruntime.TraceOpts
newBuilder() - 类中的静态方法org.tensorflow.distruntime.TracingRequest
newBuilder(TracingRequest) - 类中的静态方法org.tensorflow.distruntime.TracingRequest
newBuilder() - 类中的静态方法org.tensorflow.distruntime.TracingResponse
newBuilder(TracingResponse) - 类中的静态方法org.tensorflow.distruntime.TracingResponse
newBuilder() - 类中的静态方法org.tensorflow.example.BytesList
newBuilder(BytesList) - 类中的静态方法org.tensorflow.example.BytesList
newBuilder() - 类中的静态方法org.tensorflow.example.Example
newBuilder(Example) - 类中的静态方法org.tensorflow.example.Example
newBuilder() - 类中的静态方法org.tensorflow.example.ExampleParserConfiguration
newBuilder(ExampleParserConfiguration) - 类中的静态方法org.tensorflow.example.ExampleParserConfiguration
newBuilder() - 类中的静态方法org.tensorflow.example.Feature
newBuilder(Feature) - 类中的静态方法org.tensorflow.example.Feature
newBuilder() - 类中的静态方法org.tensorflow.example.FeatureConfiguration
newBuilder(FeatureConfiguration) - 类中的静态方法org.tensorflow.example.FeatureConfiguration
newBuilder() - 类中的静态方法org.tensorflow.example.FeatureList
newBuilder(FeatureList) - 类中的静态方法org.tensorflow.example.FeatureList
newBuilder() - 类中的静态方法org.tensorflow.example.FeatureLists
newBuilder(FeatureLists) - 类中的静态方法org.tensorflow.example.FeatureLists
newBuilder() - 类中的静态方法org.tensorflow.example.Features
newBuilder(Features) - 类中的静态方法org.tensorflow.example.Features
newBuilder() - 类中的静态方法org.tensorflow.example.FixedLenFeatureProto
newBuilder(FixedLenFeatureProto) - 类中的静态方法org.tensorflow.example.FixedLenFeatureProto
newBuilder() - 类中的静态方法org.tensorflow.example.FloatList
newBuilder(FloatList) - 类中的静态方法org.tensorflow.example.FloatList
newBuilder() - 类中的静态方法org.tensorflow.example.Int64List
newBuilder(Int64List) - 类中的静态方法org.tensorflow.example.Int64List
newBuilder() - 类中的静态方法org.tensorflow.example.SequenceExample
newBuilder(SequenceExample) - 类中的静态方法org.tensorflow.example.SequenceExample
newBuilder() - 类中的静态方法org.tensorflow.example.VarLenFeatureProto
newBuilder(VarLenFeatureProto) - 类中的静态方法org.tensorflow.example.VarLenFeatureProto
newBuilder() - 类中的静态方法org.tensorflow.framework.AllocationDescription
newBuilder(AllocationDescription) - 类中的静态方法org.tensorflow.framework.AllocationDescription
newBuilder() - 类中的静态方法org.tensorflow.framework.AllocationRecord
newBuilder(AllocationRecord) - 类中的静态方法org.tensorflow.framework.AllocationRecord
newBuilder() - 类中的静态方法org.tensorflow.framework.AllocatorMemoryUsed
newBuilder(AllocatorMemoryUsed) - 类中的静态方法org.tensorflow.framework.AllocatorMemoryUsed
newBuilder() - 类中的静态方法org.tensorflow.framework.ApiDef.Arg
newBuilder(ApiDef.Arg) - 类中的静态方法org.tensorflow.framework.ApiDef.Arg
newBuilder() - 类中的静态方法org.tensorflow.framework.ApiDef.Attr
newBuilder(ApiDef.Attr) - 类中的静态方法org.tensorflow.framework.ApiDef.Attr
newBuilder() - 类中的静态方法org.tensorflow.framework.ApiDef.Endpoint
newBuilder(ApiDef.Endpoint) - 类中的静态方法org.tensorflow.framework.ApiDef.Endpoint
newBuilder() - 类中的静态方法org.tensorflow.framework.ApiDef
newBuilder(ApiDef) - 类中的静态方法org.tensorflow.framework.ApiDef
newBuilder() - 类中的静态方法org.tensorflow.framework.ApiDefs
newBuilder(ApiDefs) - 类中的静态方法org.tensorflow.framework.ApiDefs
newBuilder() - 类中的静态方法org.tensorflow.framework.AssetFileDef
newBuilder(AssetFileDef) - 类中的静态方法org.tensorflow.framework.AssetFileDef
newBuilder() - 类中的静态方法org.tensorflow.framework.AttrValue.ListValue
newBuilder(AttrValue.ListValue) - 类中的静态方法org.tensorflow.framework.AttrValue.ListValue
newBuilder() - 类中的静态方法org.tensorflow.framework.AttrValue
newBuilder(AttrValue) - 类中的静态方法org.tensorflow.framework.AttrValue
newBuilder() - 类中的静态方法org.tensorflow.framework.AutoParallelOptions
newBuilder(AutoParallelOptions) - 类中的静态方法org.tensorflow.framework.AutoParallelOptions
newBuilder() - 类中的静态方法org.tensorflow.framework.CallableOptions
newBuilder(CallableOptions) - 类中的静态方法org.tensorflow.framework.CallableOptions
newBuilder() - 类中的静态方法org.tensorflow.framework.CollectionDef.AnyList
newBuilder(CollectionDef.AnyList) - 类中的静态方法org.tensorflow.framework.CollectionDef.AnyList
newBuilder() - 类中的静态方法org.tensorflow.framework.CollectionDef.BytesList
newBuilder(CollectionDef.BytesList) - 类中的静态方法org.tensorflow.framework.CollectionDef.BytesList
newBuilder() - 类中的静态方法org.tensorflow.framework.CollectionDef.FloatList
newBuilder(CollectionDef.FloatList) - 类中的静态方法org.tensorflow.framework.CollectionDef.FloatList
newBuilder() - 类中的静态方法org.tensorflow.framework.CollectionDef.Int64List
newBuilder(CollectionDef.Int64List) - 类中的静态方法org.tensorflow.framework.CollectionDef.Int64List
newBuilder() - 类中的静态方法org.tensorflow.framework.CollectionDef
newBuilder(CollectionDef) - 类中的静态方法org.tensorflow.framework.CollectionDef
newBuilder() - 类中的静态方法org.tensorflow.framework.CollectionDef.NodeList
newBuilder(CollectionDef.NodeList) - 类中的静态方法org.tensorflow.framework.CollectionDef.NodeList
newBuilder() - 类中的静态方法org.tensorflow.framework.CondContextDef
newBuilder(CondContextDef) - 类中的静态方法org.tensorflow.framework.CondContextDef
newBuilder() - 类中的静态方法org.tensorflow.framework.ConfigProto.Experimental
newBuilder(ConfigProto.Experimental) - 类中的静态方法org.tensorflow.framework.ConfigProto.Experimental
newBuilder() - 类中的静态方法org.tensorflow.framework.ConfigProto
newBuilder(ConfigProto) - 类中的静态方法org.tensorflow.framework.ConfigProto
newBuilder() - 类中的静态方法org.tensorflow.framework.ControlFlowContextDef
newBuilder(ControlFlowContextDef) - 类中的静态方法org.tensorflow.framework.ControlFlowContextDef
newBuilder() - 类中的静态方法org.tensorflow.framework.CostGraphDef
newBuilder(CostGraphDef) - 类中的静态方法org.tensorflow.framework.CostGraphDef
newBuilder() - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
newBuilder(CostGraphDef.Node.InputInfo) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
newBuilder() - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node
newBuilder(CostGraphDef.Node) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node
newBuilder() - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
newBuilder(CostGraphDef.Node.OutputInfo) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
newBuilder() - 类中的静态方法org.tensorflow.framework.CriticalSectionDef
newBuilder(CriticalSectionDef) - 类中的静态方法org.tensorflow.framework.CriticalSectionDef
newBuilder() - 类中的静态方法org.tensorflow.framework.CriticalSectionExecutionDef
newBuilder(CriticalSectionExecutionDef) - 类中的静态方法org.tensorflow.framework.CriticalSectionExecutionDef
newBuilder() - 类中的静态方法org.tensorflow.framework.DebuggedSourceFile
newBuilder(DebuggedSourceFile) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFile
newBuilder() - 类中的静态方法org.tensorflow.framework.DebuggedSourceFiles
newBuilder(DebuggedSourceFiles) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFiles
newBuilder() - 类中的静态方法org.tensorflow.framework.DebugOptions
newBuilder(DebugOptions) - 类中的静态方法org.tensorflow.framework.DebugOptions
newBuilder() - 类中的静态方法org.tensorflow.framework.DebugTensorWatch
newBuilder(DebugTensorWatch) - 类中的静态方法org.tensorflow.framework.DebugTensorWatch
newBuilder() - 类中的静态方法org.tensorflow.framework.DeviceAttributes
newBuilder(DeviceAttributes) - 类中的静态方法org.tensorflow.framework.DeviceAttributes
newBuilder() - 类中的静态方法org.tensorflow.framework.DeviceLocality
newBuilder(DeviceLocality) - 类中的静态方法org.tensorflow.framework.DeviceLocality
newBuilder() - 类中的静态方法org.tensorflow.framework.DeviceStepStats
newBuilder(DeviceStepStats) - 类中的静态方法org.tensorflow.framework.DeviceStepStats
newBuilder() - 类中的静态方法org.tensorflow.framework.FunctionDef
newBuilder(FunctionDef) - 类中的静态方法org.tensorflow.framework.FunctionDef
newBuilder() - 类中的静态方法org.tensorflow.framework.FunctionDefLibrary
newBuilder(FunctionDefLibrary) - 类中的静态方法org.tensorflow.framework.FunctionDefLibrary
newBuilder() - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental
newBuilder(GPUOptions.Experimental) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental
newBuilder() - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
newBuilder(GPUOptions.Experimental.VirtualDevices) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
newBuilder() - 类中的静态方法org.tensorflow.framework.GPUOptions
newBuilder(GPUOptions) - 类中的静态方法org.tensorflow.framework.GPUOptions
newBuilder() - 类中的静态方法org.tensorflow.framework.GradientDef
newBuilder(GradientDef) - 类中的静态方法org.tensorflow.framework.GradientDef
newBuilder() - 类中的静态方法org.tensorflow.framework.GraphDef
newBuilder(GraphDef) - 类中的静态方法org.tensorflow.framework.GraphDef
newBuilder() - 类中的静态方法org.tensorflow.framework.GraphOptions
newBuilder(GraphOptions) - 类中的静态方法org.tensorflow.framework.GraphOptions
newBuilder() - 类中的静态方法org.tensorflow.framework.GraphTransferConstNodeInfo
newBuilder(GraphTransferConstNodeInfo) - 类中的静态方法org.tensorflow.framework.GraphTransferConstNodeInfo
newBuilder() - 类中的静态方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
newBuilder(GraphTransferGraphInputNodeInfo) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
newBuilder() - 类中的静态方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
newBuilder(GraphTransferGraphOutputNodeInfo) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
newBuilder() - 类中的静态方法org.tensorflow.framework.GraphTransferInfo
newBuilder(GraphTransferInfo) - 类中的静态方法org.tensorflow.framework.GraphTransferInfo
newBuilder() - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInfo
newBuilder(GraphTransferNodeInfo) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInfo
newBuilder() - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInput
newBuilder(GraphTransferNodeInput) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInput
newBuilder() - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInputInfo
newBuilder(GraphTransferNodeInputInfo) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInputInfo
newBuilder() - 类中的静态方法org.tensorflow.framework.GraphTransferNodeOutputInfo
newBuilder(GraphTransferNodeOutputInfo) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeOutputInfo
newBuilder() - 类中的静态方法org.tensorflow.framework.HistogramProto
newBuilder(HistogramProto) - 类中的静态方法org.tensorflow.framework.HistogramProto
newBuilder() - 类中的静态方法org.tensorflow.framework.InterconnectLink
newBuilder(InterconnectLink) - 类中的静态方法org.tensorflow.framework.InterconnectLink
newBuilder() - 类中的静态方法org.tensorflow.framework.KernelDef.AttrConstraint
newBuilder(KernelDef.AttrConstraint) - 类中的静态方法org.tensorflow.framework.KernelDef.AttrConstraint
newBuilder() - 类中的静态方法org.tensorflow.framework.KernelDef
newBuilder(KernelDef) - 类中的静态方法org.tensorflow.framework.KernelDef
newBuilder() - 类中的静态方法org.tensorflow.framework.KernelList
newBuilder(KernelList) - 类中的静态方法org.tensorflow.framework.KernelList
newBuilder() - 类中的静态方法org.tensorflow.framework.LocalLinks
newBuilder(LocalLinks) - 类中的静态方法org.tensorflow.framework.LocalLinks
newBuilder() - 类中的静态方法org.tensorflow.framework.MemoryLogRawAllocation
newBuilder(MemoryLogRawAllocation) - 类中的静态方法org.tensorflow.framework.MemoryLogRawAllocation
newBuilder() - 类中的静态方法org.tensorflow.framework.MemoryLogRawDeallocation
newBuilder(MemoryLogRawDeallocation) - 类中的静态方法org.tensorflow.framework.MemoryLogRawDeallocation
newBuilder() - 类中的静态方法org.tensorflow.framework.MemoryLogStep
newBuilder(MemoryLogStep) - 类中的静态方法org.tensorflow.framework.MemoryLogStep
newBuilder() - 类中的静态方法org.tensorflow.framework.MemoryLogTensorAllocation
newBuilder(MemoryLogTensorAllocation) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorAllocation
newBuilder() - 类中的静态方法org.tensorflow.framework.MemoryLogTensorDeallocation
newBuilder(MemoryLogTensorDeallocation) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorDeallocation
newBuilder() - 类中的静态方法org.tensorflow.framework.MemoryLogTensorOutput
newBuilder(MemoryLogTensorOutput) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorOutput
newBuilder() - 类中的静态方法org.tensorflow.framework.MemoryStats
newBuilder(MemoryStats) - 类中的静态方法org.tensorflow.framework.MemoryStats
newBuilder() - 类中的静态方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
newBuilder(MetaGraphDef.MetaInfoDef) - 类中的静态方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
newBuilder() - 类中的静态方法org.tensorflow.framework.MetaGraphDef
newBuilder(MetaGraphDef) - 类中的静态方法org.tensorflow.framework.MetaGraphDef
newBuilder() - 类中的静态方法org.tensorflow.framework.NameAttrList
newBuilder(NameAttrList) - 类中的静态方法org.tensorflow.framework.NameAttrList
newBuilder() - 类中的静态方法org.tensorflow.framework.NamedTensorProto
newBuilder(NamedTensorProto) - 类中的静态方法org.tensorflow.framework.NamedTensorProto
newBuilder() - 类中的静态方法org.tensorflow.framework.NodeDef
newBuilder(NodeDef) - 类中的静态方法org.tensorflow.framework.NodeDef
newBuilder() - 类中的静态方法org.tensorflow.framework.NodeExecStats
newBuilder(NodeExecStats) - 类中的静态方法org.tensorflow.framework.NodeExecStats
newBuilder() - 类中的静态方法org.tensorflow.framework.NodeOutput
newBuilder(NodeOutput) - 类中的静态方法org.tensorflow.framework.NodeOutput
newBuilder() - 类中的静态方法org.tensorflow.framework.OpDef.ArgDef
newBuilder(OpDef.ArgDef) - 类中的静态方法org.tensorflow.framework.OpDef.ArgDef
newBuilder() - 类中的静态方法org.tensorflow.framework.OpDef.AttrDef
newBuilder(OpDef.AttrDef) - 类中的静态方法org.tensorflow.framework.OpDef.AttrDef
newBuilder() - 类中的静态方法org.tensorflow.framework.OpDef
newBuilder(OpDef) - 类中的静态方法org.tensorflow.framework.OpDef
newBuilder() - 类中的静态方法org.tensorflow.framework.OpDeprecation
newBuilder(OpDeprecation) - 类中的静态方法org.tensorflow.framework.OpDeprecation
newBuilder() - 类中的静态方法org.tensorflow.framework.OpList
newBuilder(OpList) - 类中的静态方法org.tensorflow.framework.OpList
newBuilder() - 类中的静态方法org.tensorflow.framework.OptimizerOptions
newBuilder(OptimizerOptions) - 类中的静态方法org.tensorflow.framework.OptimizerOptions
newBuilder() - 类中的静态方法org.tensorflow.framework.QueueRunnerDef
newBuilder(QueueRunnerDef) - 类中的静态方法org.tensorflow.framework.QueueRunnerDef
newBuilder() - 类中的静态方法org.tensorflow.framework.ReaderBaseState
newBuilder(ReaderBaseState) - 类中的静态方法org.tensorflow.framework.ReaderBaseState
newBuilder() - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
newBuilder(RemoteFusedGraphExecuteInfo) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
newBuilder() - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
newBuilder(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
newBuilder() - 类中的静态方法org.tensorflow.framework.ResourceHandleProto
newBuilder(ResourceHandleProto) - 类中的静态方法org.tensorflow.framework.ResourceHandleProto
newBuilder() - 类中的静态方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
newBuilder(RewriterConfig.CustomGraphOptimizer) - 类中的静态方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
newBuilder() - 类中的静态方法org.tensorflow.framework.RewriterConfig
newBuilder(RewriterConfig) - 类中的静态方法org.tensorflow.framework.RewriterConfig
newBuilder() - 类中的静态方法org.tensorflow.framework.RPCOptions
newBuilder(RPCOptions) - 类中的静态方法org.tensorflow.framework.RPCOptions
newBuilder() - 类中的静态方法org.tensorflow.framework.RunMetadata
newBuilder(RunMetadata) - 类中的静态方法org.tensorflow.framework.RunMetadata
newBuilder() - 类中的静态方法org.tensorflow.framework.RunOptions.Experimental
newBuilder(RunOptions.Experimental) - 类中的静态方法org.tensorflow.framework.RunOptions.Experimental
newBuilder() - 类中的静态方法org.tensorflow.framework.RunOptions
newBuilder(RunOptions) - 类中的静态方法org.tensorflow.framework.RunOptions
newBuilder() - 类中的静态方法org.tensorflow.framework.SavedModel
newBuilder(SavedModel) - 类中的静态方法org.tensorflow.framework.SavedModel
newBuilder() - 类中的静态方法org.tensorflow.framework.SaveSliceInfoDef
newBuilder(SaveSliceInfoDef) - 类中的静态方法org.tensorflow.framework.SaveSliceInfoDef
newBuilder() - 类中的静态方法org.tensorflow.framework.ScopedAllocatorOptions
newBuilder(ScopedAllocatorOptions) - 类中的静态方法org.tensorflow.framework.ScopedAllocatorOptions
newBuilder() - 类中的静态方法org.tensorflow.framework.SignatureDef
newBuilder(SignatureDef) - 类中的静态方法org.tensorflow.framework.SignatureDef
newBuilder() - 类中的静态方法org.tensorflow.framework.StepStats
newBuilder(StepStats) - 类中的静态方法org.tensorflow.framework.StepStats
newBuilder() - 类中的静态方法org.tensorflow.framework.Summary.Audio
newBuilder(Summary.Audio) - 类中的静态方法org.tensorflow.framework.Summary.Audio
newBuilder() - 类中的静态方法org.tensorflow.framework.Summary.Image
newBuilder(Summary.Image) - 类中的静态方法org.tensorflow.framework.Summary.Image
newBuilder() - 类中的静态方法org.tensorflow.framework.Summary
newBuilder(Summary) - 类中的静态方法org.tensorflow.framework.Summary
newBuilder() - 类中的静态方法org.tensorflow.framework.Summary.Value
newBuilder(Summary.Value) - 类中的静态方法org.tensorflow.framework.Summary.Value
newBuilder() - 类中的静态方法org.tensorflow.framework.SummaryDescription
newBuilder(SummaryDescription) - 类中的静态方法org.tensorflow.framework.SummaryDescription
newBuilder() - 类中的静态方法org.tensorflow.framework.SummaryMetadata
newBuilder(SummaryMetadata) - 类中的静态方法org.tensorflow.framework.SummaryMetadata
newBuilder() - 类中的静态方法org.tensorflow.framework.SummaryMetadata.PluginData
newBuilder(SummaryMetadata.PluginData) - 类中的静态方法org.tensorflow.framework.SummaryMetadata.PluginData
newBuilder() - 类中的静态方法org.tensorflow.framework.TensorConnection
newBuilder(TensorConnection) - 类中的静态方法org.tensorflow.framework.TensorConnection
newBuilder() - 类中的静态方法org.tensorflow.framework.TensorDescription
newBuilder(TensorDescription) - 类中的静态方法org.tensorflow.framework.TensorDescription
newBuilder() - 类中的静态方法org.tensorflow.framework.TensorInfo.CooSparse
newBuilder(TensorInfo.CooSparse) - 类中的静态方法org.tensorflow.framework.TensorInfo.CooSparse
newBuilder() - 类中的静态方法org.tensorflow.framework.TensorInfo
newBuilder(TensorInfo) - 类中的静态方法org.tensorflow.framework.TensorInfo
newBuilder() - 类中的静态方法org.tensorflow.framework.TensorProto
newBuilder(TensorProto) - 类中的静态方法org.tensorflow.framework.TensorProto
newBuilder() - 类中的静态方法org.tensorflow.framework.TensorShapeProto.Dim
newBuilder(TensorShapeProto.Dim) - 类中的静态方法org.tensorflow.framework.TensorShapeProto.Dim
newBuilder() - 类中的静态方法org.tensorflow.framework.TensorShapeProto
newBuilder(TensorShapeProto) - 类中的静态方法org.tensorflow.framework.TensorShapeProto
newBuilder() - 类中的静态方法org.tensorflow.framework.TensorSliceProto.Extent
newBuilder(TensorSliceProto.Extent) - 类中的静态方法org.tensorflow.framework.TensorSliceProto.Extent
newBuilder() - 类中的静态方法org.tensorflow.framework.TensorSliceProto
newBuilder(TensorSliceProto) - 类中的静态方法org.tensorflow.framework.TensorSliceProto
newBuilder() - 类中的静态方法org.tensorflow.framework.ThreadPoolOptionProto
newBuilder(ThreadPoolOptionProto) - 类中的静态方法org.tensorflow.framework.ThreadPoolOptionProto
newBuilder() - 类中的静态方法org.tensorflow.framework.ValuesDef
newBuilder(ValuesDef) - 类中的静态方法org.tensorflow.framework.ValuesDef
newBuilder() - 类中的静态方法org.tensorflow.framework.VariableDef
newBuilder(VariableDef) - 类中的静态方法org.tensorflow.framework.VariableDef
newBuilder() - 类中的静态方法org.tensorflow.framework.VariantTensorDataProto
newBuilder(VariantTensorDataProto) - 类中的静态方法org.tensorflow.framework.VariantTensorDataProto
newBuilder() - 类中的静态方法org.tensorflow.framework.VersionDef
newBuilder(VersionDef) - 类中的静态方法org.tensorflow.framework.VersionDef
newBuilder() - 类中的静态方法org.tensorflow.framework.WhileContextDef
newBuilder(WhileContextDef) - 类中的静态方法org.tensorflow.framework.WhileContextDef
newBuilder() - 类中的静态方法org.tensorflow.util.BundleEntryProto
newBuilder(BundleEntryProto) - 类中的静态方法org.tensorflow.util.BundleEntryProto
newBuilder() - 类中的静态方法org.tensorflow.util.BundleHeaderProto
newBuilder(BundleHeaderProto) - 类中的静态方法org.tensorflow.util.BundleHeaderProto
newBuilder() - 类中的静态方法org.tensorflow.util.IteratorStateMetadata
newBuilder(IteratorStateMetadata) - 类中的静态方法org.tensorflow.util.IteratorStateMetadata
newBuilder() - 类中的静态方法org.tensorflow.util.SaverDef
newBuilder(SaverDef) - 类中的静态方法org.tensorflow.util.SaverDef
newBuilder() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
newBuilder(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
newBuilder() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
newBuilder(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
newBuilder() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
newBuilder(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
newBuilder() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
newBuilder(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
newBuilder() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
newBuilder(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
newBuilder() - 类中的静态方法tensorflow.DevicePropertiesProtos.DeviceProperties
newBuilder(DevicePropertiesProtos.DeviceProperties) - 类中的静态方法tensorflow.DevicePropertiesProtos.DeviceProperties
newBuilder() - 类中的静态方法tensorflow.DevicePropertiesProtos.NamedDevice
newBuilder(DevicePropertiesProtos.NamedDevice) - 类中的静态方法tensorflow.DevicePropertiesProtos.NamedDevice
newBuilder() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
newBuilder(EagerServiceOuterClass.CloseContextRequest) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
newBuilder() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
newBuilder(EagerServiceOuterClass.CloseContextResponse) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
newBuilder() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
newBuilder(EagerServiceOuterClass.CreateContextRequest) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
newBuilder() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
newBuilder(EagerServiceOuterClass.CreateContextResponse) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
newBuilder() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
newBuilder(EagerServiceOuterClass.EnqueueRequest) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
newBuilder() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
newBuilder(EagerServiceOuterClass.EnqueueResponse) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
newBuilder() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
newBuilder(EagerServiceOuterClass.KeepAliveRequest) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
newBuilder() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
newBuilder(EagerServiceOuterClass.KeepAliveResponse) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
newBuilder() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.Operation
newBuilder(EagerServiceOuterClass.Operation) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.Operation
newBuilder() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem
newBuilder(EagerServiceOuterClass.QueueItem) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem
newBuilder() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
newBuilder(EagerServiceOuterClass.QueueResponse) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
newBuilder() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
newBuilder(EagerServiceOuterClass.RegisterFunctionRequest) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
newBuilder() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
newBuilder(EagerServiceOuterClass.RegisterFunctionResponse) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
newBuilder() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
newBuilder(EagerServiceOuterClass.RemoteTensorHandle) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
newBuilder() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
newBuilder(EagerServiceOuterClass.SendTensorRequest) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
newBuilder() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
newBuilder(EagerServiceOuterClass.SendTensorResponse) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
newBuilder() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
newBuilder(EagerServiceOuterClass.WaitQueueDoneRequest) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
newBuilder() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
newBuilder(EagerServiceOuterClass.WaitQueueDoneResponse) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
newBuilder() - 类中的静态方法tensorflow.serving.Classification.Class
newBuilder(Classification.Class) - 类中的静态方法tensorflow.serving.Classification.Class
newBuilder() - 类中的静态方法tensorflow.serving.Classification.ClassificationRequest
newBuilder(Classification.ClassificationRequest) - 类中的静态方法tensorflow.serving.Classification.ClassificationRequest
newBuilder() - 类中的静态方法tensorflow.serving.Classification.ClassificationResponse
newBuilder(Classification.ClassificationResponse) - 类中的静态方法tensorflow.serving.Classification.ClassificationResponse
newBuilder() - 类中的静态方法tensorflow.serving.Classification.ClassificationResult
newBuilder(Classification.ClassificationResult) - 类中的静态方法tensorflow.serving.Classification.ClassificationResult
newBuilder() - 类中的静态方法tensorflow.serving.Classification.Classifications
newBuilder(Classification.Classifications) - 类中的静态方法tensorflow.serving.Classification.Classifications
newBuilder() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
newBuilder(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
newBuilder() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
newBuilder(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
newBuilder() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
newBuilder(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
newBuilder() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
newBuilder(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
newBuilder() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
newBuilder(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
newBuilder() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
newBuilder(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
newBuilder() - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
newBuilder(GetModelMetadata.GetModelMetadataRequest) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
newBuilder() - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
newBuilder(GetModelMetadata.GetModelMetadataResponse) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
newBuilder() - 类中的静态方法tensorflow.serving.GetModelMetadata.SignatureDefMap
newBuilder(GetModelMetadata.SignatureDefMap) - 类中的静态方法tensorflow.serving.GetModelMetadata.SignatureDefMap
newBuilder() - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
newBuilder(GetModelStatus.GetModelStatusRequest) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
newBuilder() - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
newBuilder(GetModelStatus.GetModelStatusResponse) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
newBuilder() - 类中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus
newBuilder(GetModelStatus.ModelVersionStatus) - 类中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus
newBuilder() - 类中的静态方法tensorflow.serving.Inference.InferenceResult
newBuilder(Inference.InferenceResult) - 类中的静态方法tensorflow.serving.Inference.InferenceResult
newBuilder() - 类中的静态方法tensorflow.serving.Inference.InferenceTask
newBuilder(Inference.InferenceTask) - 类中的静态方法tensorflow.serving.Inference.InferenceTask
newBuilder() - 类中的静态方法tensorflow.serving.Inference.MultiInferenceRequest
newBuilder(Inference.MultiInferenceRequest) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceRequest
newBuilder() - 类中的静态方法tensorflow.serving.Inference.MultiInferenceResponse
newBuilder(Inference.MultiInferenceResponse) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceResponse
newBuilder() - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleList
newBuilder(InputOuterClass.ExampleList) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleList
newBuilder() - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleListWithContext
newBuilder(InputOuterClass.ExampleListWithContext) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleListWithContext
newBuilder() - 类中的静态方法tensorflow.serving.InputOuterClass.Input
newBuilder(InputOuterClass.Input) - 类中的静态方法tensorflow.serving.InputOuterClass.Input
newBuilder() - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
newBuilder(SerializedInputOuterClass.SerializedExampleList) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
newBuilder() - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
newBuilder(SerializedInputOuterClass.SerializedExampleListWithContext) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
newBuilder() - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
newBuilder(SerializedInputOuterClass.SerializedInput) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
newBuilder() - 类中的静态方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
newBuilder(LogCollectorConfigOuterClass.LogCollectorConfig) - 类中的静态方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
newBuilder() - 类中的静态方法tensorflow.serving.Logging.LogMetadata
newBuilder(Logging.LogMetadata) - 类中的静态方法tensorflow.serving.Logging.LogMetadata
newBuilder() - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
newBuilder(LoggingConfigOuterClass.LoggingConfig) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
newBuilder() - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
newBuilder(LoggingConfigOuterClass.SamplingConfig) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
newBuilder() - 类中的静态方法tensorflow.serving.Model.ModelSpec
newBuilder(Model.ModelSpec) - 类中的静态方法tensorflow.serving.Model.ModelSpec
newBuilder() - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigRequest
newBuilder(ModelManagement.ReloadConfigRequest) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigRequest
newBuilder() - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigResponse
newBuilder(ModelManagement.ReloadConfigResponse) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigResponse
newBuilder() - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
newBuilder(ModelServerConfigOuterClass.ModelConfig) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
newBuilder() - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
newBuilder(ModelServerConfigOuterClass.ModelConfigList) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
newBuilder() - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
newBuilder(ModelServerConfigOuterClass.ModelServerConfig) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
newBuilder() - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
newBuilder(PlatformConfigOuterClass.PlatformConfig) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
newBuilder() - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
newBuilder(PlatformConfigOuterClass.PlatformConfigMap) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
newBuilder() - 类中的静态方法tensorflow.serving.Predict.PredictRequest
newBuilder(Predict.PredictRequest) - 类中的静态方法tensorflow.serving.Predict.PredictRequest
newBuilder() - 类中的静态方法tensorflow.serving.Predict.PredictResponse
newBuilder(Predict.PredictResponse) - 类中的静态方法tensorflow.serving.Predict.PredictResponse
newBuilder() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
newBuilder(PredictionLogOuterClass.ClassifyLog) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
newBuilder() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
newBuilder(PredictionLogOuterClass.MultiInferenceLog) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
newBuilder() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
newBuilder(PredictionLogOuterClass.PredictionLog) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
newBuilder() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictLog
newBuilder(PredictionLogOuterClass.PredictLog) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictLog
newBuilder() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.RegressLog
newBuilder(PredictionLogOuterClass.RegressLog) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.RegressLog
newBuilder() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
newBuilder(PredictionLogOuterClass.SessionRunLog) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
newBuilder() - 类中的静态方法tensorflow.serving.RegressionOuterClass.Regression
newBuilder(RegressionOuterClass.Regression) - 类中的静态方法tensorflow.serving.RegressionOuterClass.Regression
newBuilder() - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionRequest
newBuilder(RegressionOuterClass.RegressionRequest) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionRequest
newBuilder() - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResponse
newBuilder(RegressionOuterClass.RegressionResponse) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResponse
newBuilder() - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResult
newBuilder(RegressionOuterClass.RegressionResult) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResult
newBuilder() - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
newBuilder(SessionServiceOuterClass.SessionRunRequest) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
newBuilder() - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
newBuilder(SessionServiceOuterClass.SessionRunResponse) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
newBuilder() - 类中的静态方法tensorflow.serving.SslConfig.SSLConfig
newBuilder(SslConfig.SSLConfig) - 类中的静态方法tensorflow.serving.SslConfig.SSLConfig
newBuilder() - 类中的静态方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
newBuilder(StaticStoragePathSource.StaticStoragePathSourceConfig) - 类中的静态方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
newBuilder() - 类中的静态方法tensorflow.serving.Status.StatusProto
newBuilder(Status.StatusProto) - 类中的静态方法tensorflow.serving.Status.StatusProto
newBuilder() - 类中的静态方法tensorflow.TransportOptions.RecvBufRespExtra
newBuilder(TransportOptions.RecvBufRespExtra) - 类中的静态方法tensorflow.TransportOptions.RecvBufRespExtra
newBuilderForType() - 类中的方法org.tensorflow.distruntime.CleanupAllRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.CleanupAllRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.CleanupAllResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.CleanupAllResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.CloseSessionRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.CloseSessionRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.CloseSessionResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.CloseSessionResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.ClusterDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.ClusterDef
newBuilderForType() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.CreateSessionRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.CreateSessionResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.ExecutorOpts
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.ExecutorOpts
newBuilderForType() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.GetStatusRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.GetStatusRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.GetStatusResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.GetStatusResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.JobDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.JobDef
newBuilderForType() - 类中的方法org.tensorflow.distruntime.LabeledStepStats
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.LabeledStepStats
newBuilderForType() - 类中的方法org.tensorflow.distruntime.ListDevicesRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.ListDevicesRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.LoggingRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.LoggingRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.LoggingResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.LoggingResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.MakeCallableRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.MakeCallableResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.MakeCallableResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.RecvBufRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.RecvBufRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.RecvBufResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.RecvBufResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.RecvTensorResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.ResetRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.ResetRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.ResetResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.ResetResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.RunCallableRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.RunCallableRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.RunCallableResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.RunCallableResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.RunGraphRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.RunGraphRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.RunGraphResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.RunGraphResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.RunStepRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.RunStepRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.RunStepResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.RunStepResponse
newBuilderForType() - 类中的方法org.tensorflow.distruntime.ServerDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.ServerDef
newBuilderForType() - 类中的方法org.tensorflow.distruntime.StepSequence
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.StepSequence
newBuilderForType() - 类中的方法org.tensorflow.distruntime.TraceOpts
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.TraceOpts
newBuilderForType() - 类中的方法org.tensorflow.distruntime.TracingRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.TracingRequest
newBuilderForType() - 类中的方法org.tensorflow.distruntime.TracingResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.distruntime.TracingResponse
newBuilderForType() - 类中的方法org.tensorflow.example.BytesList
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.example.BytesList
newBuilderForType() - 类中的方法org.tensorflow.example.Example
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.example.Example
newBuilderForType() - 类中的方法org.tensorflow.example.ExampleParserConfiguration
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.example.ExampleParserConfiguration
newBuilderForType() - 类中的方法org.tensorflow.example.Feature
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.example.Feature
newBuilderForType() - 类中的方法org.tensorflow.example.FeatureConfiguration
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.example.FeatureConfiguration
newBuilderForType() - 类中的方法org.tensorflow.example.FeatureList
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.example.FeatureList
newBuilderForType() - 类中的方法org.tensorflow.example.FeatureLists
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.example.FeatureLists
newBuilderForType() - 类中的方法org.tensorflow.example.Features
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.example.Features
newBuilderForType() - 类中的方法org.tensorflow.example.FixedLenFeatureProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.example.FixedLenFeatureProto
newBuilderForType() - 类中的方法org.tensorflow.example.FloatList
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.example.FloatList
newBuilderForType() - 类中的方法org.tensorflow.example.Int64List
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.example.Int64List
newBuilderForType() - 类中的方法org.tensorflow.example.SequenceExample
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.example.SequenceExample
newBuilderForType() - 类中的方法org.tensorflow.example.VarLenFeatureProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.example.VarLenFeatureProto
newBuilderForType() - 类中的方法org.tensorflow.framework.AllocationDescription
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.AllocationDescription
newBuilderForType() - 类中的方法org.tensorflow.framework.AllocationRecord
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.AllocationRecord
newBuilderForType() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed
newBuilderForType() - 类中的方法org.tensorflow.framework.ApiDef.Arg
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.ApiDef.Arg
newBuilderForType() - 类中的方法org.tensorflow.framework.ApiDef.Attr
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.ApiDef.Attr
newBuilderForType() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.ApiDef.Endpoint
newBuilderForType() - 类中的方法org.tensorflow.framework.ApiDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.ApiDef
newBuilderForType() - 类中的方法org.tensorflow.framework.ApiDefs
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.ApiDefs
newBuilderForType() - 类中的方法org.tensorflow.framework.AssetFileDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.AssetFileDef
newBuilderForType() - 类中的方法org.tensorflow.framework.AttrValue.ListValue
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.AttrValue.ListValue
newBuilderForType() - 类中的方法org.tensorflow.framework.AttrValue
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.AttrValue
newBuilderForType() - 类中的方法org.tensorflow.framework.AutoParallelOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.AutoParallelOptions
newBuilderForType() - 类中的方法org.tensorflow.framework.CallableOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.CallableOptions
newBuilderForType() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList
newBuilderForType() - 类中的方法org.tensorflow.framework.CollectionDef.BytesList
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.CollectionDef.BytesList
newBuilderForType() - 类中的方法org.tensorflow.framework.CollectionDef.FloatList
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.CollectionDef.FloatList
newBuilderForType() - 类中的方法org.tensorflow.framework.CollectionDef.Int64List
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.CollectionDef.Int64List
newBuilderForType() - 类中的方法org.tensorflow.framework.CollectionDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.CollectionDef
newBuilderForType() - 类中的方法org.tensorflow.framework.CollectionDef.NodeList
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.CollectionDef.NodeList
newBuilderForType() - 类中的方法org.tensorflow.framework.CondContextDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.CondContextDef
newBuilderForType() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.ConfigProto.Experimental
newBuilderForType() - 类中的方法org.tensorflow.framework.ConfigProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.ConfigProto
newBuilderForType() - 类中的方法org.tensorflow.framework.ControlFlowContextDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.ControlFlowContextDef
newBuilderForType() - 类中的方法org.tensorflow.framework.CostGraphDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.CostGraphDef
newBuilderForType() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
newBuilderForType() - 类中的方法org.tensorflow.framework.CostGraphDef.Node
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.CostGraphDef.Node
newBuilderForType() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
newBuilderForType() - 类中的方法org.tensorflow.framework.CriticalSectionDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.CriticalSectionDef
newBuilderForType() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef
newBuilderForType() - 类中的方法org.tensorflow.framework.DebuggedSourceFile
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.DebuggedSourceFile
newBuilderForType() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles
newBuilderForType() - 类中的方法org.tensorflow.framework.DebugOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.DebugOptions
newBuilderForType() - 类中的方法org.tensorflow.framework.DebugTensorWatch
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.DebugTensorWatch
newBuilderForType() - 类中的方法org.tensorflow.framework.DeviceAttributes
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.DeviceAttributes
newBuilderForType() - 类中的方法org.tensorflow.framework.DeviceLocality
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.DeviceLocality
newBuilderForType() - 类中的方法org.tensorflow.framework.DeviceStepStats
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.DeviceStepStats
newBuilderForType() - 类中的方法org.tensorflow.framework.FunctionDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.FunctionDef
newBuilderForType() - 类中的方法org.tensorflow.framework.FunctionDefLibrary
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.FunctionDefLibrary
newBuilderForType() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental
newBuilderForType() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
newBuilderForType() - 类中的方法org.tensorflow.framework.GPUOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.GPUOptions
newBuilderForType() - 类中的方法org.tensorflow.framework.GradientDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.GradientDef
newBuilderForType() - 类中的方法org.tensorflow.framework.GraphDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.GraphDef
newBuilderForType() - 类中的方法org.tensorflow.framework.GraphOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.GraphOptions
newBuilderForType() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
newBuilderForType() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
newBuilderForType() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
newBuilderForType() - 类中的方法org.tensorflow.framework.GraphTransferInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.GraphTransferInfo
newBuilderForType() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo
newBuilderForType() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.GraphTransferNodeInput
newBuilderForType() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo
newBuilderForType() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo
newBuilderForType() - 类中的方法org.tensorflow.framework.HistogramProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.HistogramProto
newBuilderForType() - 类中的方法org.tensorflow.framework.InterconnectLink
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.InterconnectLink
newBuilderForType() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint
newBuilderForType() - 类中的方法org.tensorflow.framework.KernelDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.KernelDef
newBuilderForType() - 类中的方法org.tensorflow.framework.KernelList
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.KernelList
newBuilderForType() - 类中的方法org.tensorflow.framework.LocalLinks
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.LocalLinks
newBuilderForType() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation
newBuilderForType() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation
newBuilderForType() - 类中的方法org.tensorflow.framework.MemoryLogStep
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.MemoryLogStep
newBuilderForType() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation
newBuilderForType() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation
newBuilderForType() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput
newBuilderForType() - 类中的方法org.tensorflow.framework.MemoryStats
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.MemoryStats
newBuilderForType() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
newBuilderForType() - 类中的方法org.tensorflow.framework.MetaGraphDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.MetaGraphDef
newBuilderForType() - 类中的方法org.tensorflow.framework.NameAttrList
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.NameAttrList
newBuilderForType() - 类中的方法org.tensorflow.framework.NamedTensorProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.NamedTensorProto
newBuilderForType() - 类中的方法org.tensorflow.framework.NodeDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.NodeDef
newBuilderForType() - 类中的方法org.tensorflow.framework.NodeExecStats
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.NodeExecStats
newBuilderForType() - 类中的方法org.tensorflow.framework.NodeOutput
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.NodeOutput
newBuilderForType() - 类中的方法org.tensorflow.framework.OpDef.ArgDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.OpDef.ArgDef
newBuilderForType() - 类中的方法org.tensorflow.framework.OpDef.AttrDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.OpDef.AttrDef
newBuilderForType() - 类中的方法org.tensorflow.framework.OpDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.OpDef
newBuilderForType() - 类中的方法org.tensorflow.framework.OpDeprecation
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.OpDeprecation
newBuilderForType() - 类中的方法org.tensorflow.framework.OpList
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.OpList
newBuilderForType() - 类中的方法org.tensorflow.framework.OptimizerOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.OptimizerOptions
newBuilderForType() - 类中的方法org.tensorflow.framework.QueueRunnerDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.QueueRunnerDef
newBuilderForType() - 类中的方法org.tensorflow.framework.ReaderBaseState
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.ReaderBaseState
newBuilderForType() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
newBuilderForType() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
newBuilderForType() - 类中的方法org.tensorflow.framework.ResourceHandleProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.ResourceHandleProto
newBuilderForType() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
newBuilderForType() - 类中的方法org.tensorflow.framework.RewriterConfig
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.RewriterConfig
newBuilderForType() - 类中的方法org.tensorflow.framework.RPCOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.RPCOptions
newBuilderForType() - 类中的方法org.tensorflow.framework.RunMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.RunMetadata
newBuilderForType() - 类中的方法org.tensorflow.framework.RunOptions.Experimental
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.RunOptions.Experimental
newBuilderForType() - 类中的方法org.tensorflow.framework.RunOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.RunOptions
newBuilderForType() - 类中的方法org.tensorflow.framework.SavedModel
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.SavedModel
newBuilderForType() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef
newBuilderForType() - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions
newBuilderForType() - 类中的方法org.tensorflow.framework.SignatureDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.SignatureDef
newBuilderForType() - 类中的方法org.tensorflow.framework.StepStats
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.StepStats
newBuilderForType() - 类中的方法org.tensorflow.framework.Summary.Audio
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.Summary.Audio
newBuilderForType() - 类中的方法org.tensorflow.framework.Summary.Image
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.Summary.Image
newBuilderForType() - 类中的方法org.tensorflow.framework.Summary
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.Summary
newBuilderForType() - 类中的方法org.tensorflow.framework.Summary.Value
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.Summary.Value
newBuilderForType() - 类中的方法org.tensorflow.framework.SummaryDescription
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.SummaryDescription
newBuilderForType() - 类中的方法org.tensorflow.framework.SummaryMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.SummaryMetadata
newBuilderForType() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData
newBuilderForType() - 类中的方法org.tensorflow.framework.TensorConnection
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.TensorConnection
newBuilderForType() - 类中的方法org.tensorflow.framework.TensorDescription
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.TensorDescription
newBuilderForType() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse
newBuilderForType() - 类中的方法org.tensorflow.framework.TensorInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.TensorInfo
newBuilderForType() - 类中的方法org.tensorflow.framework.TensorProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.TensorProto
newBuilderForType() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim
newBuilderForType() - 类中的方法org.tensorflow.framework.TensorShapeProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.TensorShapeProto
newBuilderForType() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent
newBuilderForType() - 类中的方法org.tensorflow.framework.TensorSliceProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.TensorSliceProto
newBuilderForType() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto
newBuilderForType() - 类中的方法org.tensorflow.framework.ValuesDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.ValuesDef
newBuilderForType() - 类中的方法org.tensorflow.framework.VariableDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.VariableDef
newBuilderForType() - 类中的方法org.tensorflow.framework.VariantTensorDataProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.VariantTensorDataProto
newBuilderForType() - 类中的方法org.tensorflow.framework.VersionDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.VersionDef
newBuilderForType() - 类中的方法org.tensorflow.framework.WhileContextDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.framework.WhileContextDef
newBuilderForType() - 类中的方法org.tensorflow.util.BundleEntryProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.util.BundleEntryProto
newBuilderForType() - 类中的方法org.tensorflow.util.BundleHeaderProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.util.BundleHeaderProto
newBuilderForType() - 类中的方法org.tensorflow.util.IteratorStateMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.util.IteratorStateMetadata
newBuilderForType() - 类中的方法org.tensorflow.util.SaverDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法org.tensorflow.util.SaverDef
newBuilderForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
newBuilderForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
newBuilderForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
newBuilderForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
newBuilderForType() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
newBuilderForType() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
newBuilderForType() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice
newBuilderForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
newBuilderForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
newBuilderForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
newBuilderForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
newBuilderForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
newBuilderForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
newBuilderForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
newBuilderForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
newBuilderForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation
newBuilderForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem
newBuilderForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
newBuilderForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
newBuilderForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
newBuilderForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
newBuilderForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
newBuilderForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
newBuilderForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
newBuilderForType() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
newBuilderForType() - 类中的方法tensorflow.serving.Classification.Class
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.Classification.Class
newBuilderForType() - 类中的方法tensorflow.serving.Classification.ClassificationRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.Classification.ClassificationRequest
newBuilderForType() - 类中的方法tensorflow.serving.Classification.ClassificationResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.Classification.ClassificationResponse
newBuilderForType() - 类中的方法tensorflow.serving.Classification.ClassificationResult
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.Classification.ClassificationResult
newBuilderForType() - 类中的方法tensorflow.serving.Classification.Classifications
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.Classification.Classifications
newBuilderForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
newBuilderForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
newBuilderForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
newBuilderForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
newBuilderForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
newBuilderForType() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
newBuilderForType() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
newBuilderForType() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
newBuilderForType() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
newBuilderForType() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
newBuilderForType() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
newBuilderForType() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus
newBuilderForType() - 类中的方法tensorflow.serving.Inference.InferenceResult
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.Inference.InferenceResult
newBuilderForType() - 类中的方法tensorflow.serving.Inference.InferenceTask
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.Inference.InferenceTask
newBuilderForType() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest
newBuilderForType() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse
newBuilderForType() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList
newBuilderForType() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
newBuilderForType() - 类中的方法tensorflow.serving.InputOuterClass.Input
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.InputOuterClass.Input
newBuilderForType() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
newBuilderForType() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
newBuilderForType() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
newBuilderForType() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
newBuilderForType() - 类中的方法tensorflow.serving.Logging.LogMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.Logging.LogMetadata
newBuilderForType() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
newBuilderForType() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
newBuilderForType() - 类中的方法tensorflow.serving.Model.ModelSpec
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.Model.ModelSpec
newBuilderForType() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest
newBuilderForType() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse
newBuilderForType() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
newBuilderForType() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
newBuilderForType() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
newBuilderForType() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
newBuilderForType() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
newBuilderForType() - 类中的方法tensorflow.serving.Predict.PredictRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.Predict.PredictRequest
newBuilderForType() - 类中的方法tensorflow.serving.Predict.PredictResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.Predict.PredictResponse
newBuilderForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
newBuilderForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
newBuilderForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
newBuilderForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog
newBuilderForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog
newBuilderForType() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
newBuilderForType() - 类中的方法tensorflow.serving.RegressionOuterClass.Regression
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.RegressionOuterClass.Regression
newBuilderForType() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest
newBuilderForType() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse
newBuilderForType() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult
newBuilderForType() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
newBuilderForType() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
newBuilderForType() - 类中的方法tensorflow.serving.SslConfig.SSLConfig
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.SslConfig.SSLConfig
newBuilderForType() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
newBuilderForType() - 类中的方法tensorflow.serving.Status.StatusProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.serving.Status.StatusProto
newBuilderForType() - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra
newBuilderForType(GeneratedMessageV3.BuilderParent) - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra
newFutureStub(Channel) - 类中的静态方法org.tensorflow.distruntime.MasterServiceGrpc: Creates a new ListenableFuture-style stub that supports unary calls on the service
newFutureStub(Channel) - 类中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc: Creates a new ListenableFuture-style stub that supports unary calls on the service
newFutureStub(Channel) - 类中的静态方法tensorflow.eager.EagerServiceGrpc: Creates a new ListenableFuture-style stub that supports unary calls on the service
newFutureStub(Channel) - 类中的静态方法tensorflow.serving.ModelServiceGrpc: Creates a new ListenableFuture-style stub that supports unary calls on the service
newFutureStub(Channel) - 类中的静态方法tensorflow.serving.PredictionServiceGrpc: Creates a new ListenableFuture-style stub that supports unary calls on the service
newFutureStub(Channel) - 类中的静态方法tensorflow.serving.SessionServiceGrpc: Creates a new ListenableFuture-style stub that supports unary calls on the service
newStub(Channel) - 类中的静态方法org.tensorflow.distruntime.MasterServiceGrpc: Creates a new async stub that supports all call types for the service
newStub(Channel) - 类中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc: Creates a new async stub that supports all call types for the service
newStub(Channel) - 类中的静态方法tensorflow.eager.EagerServiceGrpc: Creates a new async stub that supports all call types for the service
newStub(Channel) - 类中的静态方法tensorflow.serving.ModelServiceGrpc: Creates a new async stub that supports all call types for the service
newStub(Channel) - 类中的静态方法tensorflow.serving.PredictionServiceGrpc: Creates a new async stub that supports all call types for the service
newStub(Channel) - 类中的静态方法tensorflow.serving.SessionServiceGrpc: Creates a new async stub that supports all call types for the service
NEXT_STEP_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.StepSequence
NO_MEM_OPT_VALUE - 枚举中的静态变量org.tensorflow.framework.RewriterConfig.MemOptType: Disabled in the meta-optimizer.
NO_TRACE_VALUE - 枚举中的静态变量org.tensorflow.framework.RunOptions.TraceLevel: NO_TRACE = 0;
NODE_DEF_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.FunctionDef
NODE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef
NODE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphDef
NODE_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferConstNodeInfo
NODE_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferNodeInfo
NODE_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferNodeInput
NODE_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferNodeInputInfo
NODE_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferNodeOutputInfo
NODE_ID_FIELD_NUMBER - 类中的静态变量tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
NODE_INFO_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferInfo
NODE_INPUT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferNodeInputInfo
NODE_INPUT_INFO_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferInfo
NODE_LIST_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CollectionDef
NODE_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DebugTensorWatch
NODE_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeExecStats
NODE_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.Summary.Value
NODE_OUTPUT_INFO_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferInfo
NODE_STATS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DeviceStepStats
NodeDef - org.tensorflow.framework中的类: Protobuf type tensorflow.NodeDef
NodeDef.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.NodeDef
NodeDefOrBuilder - org.tensorflow.framework中的接口
NodeExecStats - org.tensorflow.framework中的类: Time/size stats recorded for a single execution of a graph node.
NodeExecStats.Builder - org.tensorflow.framework中的类: Time/size stats recorded for a single execution of a graph node.
NodeExecStatsOrBuilder - org.tensorflow.framework中的接口
NodeOutput - org.tensorflow.framework中的类: Output sizes recorded for a single execution of a graph node.
NodeOutput.Builder - org.tensorflow.framework中的类: Output sizes recorded for a single execution of a graph node.
NodeOutputOrBuilder - org.tensorflow.framework中的接口
NodeProto - org.tensorflow.framework中的类
NODES_FIELD_NUMBER - 类中的静态变量tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
NOP_VALUE - 枚举中的静态变量org.tensorflow.framework.GraphTransferInfo.Destination: NOP = 0;
NOT_FOUND_VALUE - 枚举中的静态变量org.tensorflow.framework.Code: Some requested entity (e.g., file or directory) was not found.
NUM_BYTES_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvBufRequest
NUM_BYTES_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvBufResponse
NUM_BYTES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryLogRawAllocation
NUM_CHANNELS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.Summary.Audio
NUM_CORES_FIELD_NUMBER - 类中的静态变量tensorflow.DevicePropertiesProtos.DeviceProperties
NUM_DEV_TO_DEV_COPY_STREAMS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GPUOptions.Experimental
NUM_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.HistogramProto
NUM_RECORDS_PRODUCED_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ReaderBaseState
NUM_REGISTERS_FIELD_NUMBER - 类中的静态变量tensorflow.DevicePropertiesProtos.DeviceProperties
NUM_REPLICAS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AutoParallelOptions
NUM_SHARDS_FIELD_NUMBER - 类中的静态变量org.tensorflow.util.BundleHeaderProto
NUM_TASKS_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteGroupResponse
NUM_THREADS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ThreadPoolOptionProto
NUM_VERSIONS_FIELD_NUMBER - 类中的静态变量tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
NUMA_NODE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DeviceLocality
NUMBER_ATTR_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef.ArgDef

O

OBSOLETE_OLD_STYLE_HISTOGRAM_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.Summary.Value
OFF_VALUE - 枚举中的静态变量org.tensorflow.framework.OptimizerOptions.GlobalJitLevel: OFF = -1;
OFF_VALUE - 枚举中的静态变量org.tensorflow.framework.RewriterConfig.Toggle: OFF = 2;
OFFSET_FIELD_NUMBER - 类中的静态变量org.tensorflow.util.BundleEntryProto
OK_VALUE - 枚举中的静态变量org.tensorflow.framework.Code: Not an error; returned on success OK = 0;
ON_1_VALUE - 枚举中的静态变量org.tensorflow.framework.OptimizerOptions.GlobalJitLevel: The following settings turn on compilation, with higher values being more aggressive.
ON_2_VALUE - 枚举中的静态变量org.tensorflow.framework.OptimizerOptions.GlobalJitLevel: ON_2 = 2;
ON_VALUE - 枚举中的静态变量org.tensorflow.framework.RewriterConfig.Toggle: ON = 1;
ONE_VALUE - 枚举中的静态变量org.tensorflow.framework.RewriterConfig.NumIterationsType: ONE = 1;
OP_END_REL_MICROS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeExecStats
OP_END_REL_NANOS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeExecStats
OP_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ApiDefs
OP_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.KernelDef
OP_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeDef
OP_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpList
OP_ID_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
OP_ID_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
OP_ID_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
OP_START_REL_MICROS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeExecStats
OP_START_REL_NANOS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeExecStats
OpDef - org.tensorflow.framework中的类: Defines an operation.
OpDef.ArgDef - org.tensorflow.framework中的类: For describing inputs and outputs.
OpDef.ArgDef.Builder - org.tensorflow.framework中的类: For describing inputs and outputs.
OpDef.ArgDefOrBuilder - org.tensorflow.framework中的接口
OpDef.AttrDef - org.tensorflow.framework中的类: Description of the graph-construction-time configuration of this Op.
OpDef.AttrDef.Builder - org.tensorflow.framework中的类: Description of the graph-construction-time configuration of this Op.
OpDef.AttrDefOrBuilder - org.tensorflow.framework中的接口
OpDef.Builder - org.tensorflow.framework中的类: Defines an operation.
OpDefOrBuilder - org.tensorflow.framework中的接口
OpDefProtos - org.tensorflow.framework中的类
OpDeprecation - org.tensorflow.framework中的类: Information about version-dependent deprecation of an op Protobuf type tensorflow.OpDeprecation
OpDeprecation.Builder - org.tensorflow.framework中的类: Information about version-dependent deprecation of an op Protobuf type tensorflow.OpDeprecation
OpDeprecationOrBuilder - org.tensorflow.framework中的接口
OPERATION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryLogRawAllocation
OPERATION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryLogRawDeallocation
OPERATION_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.QueueItem
OPERATION_TIMEOUT_IN_MS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ConfigProto
OpList - org.tensorflow.framework中的类: A collection of OpDefs Protobuf type tensorflow.OpList
OpList.Builder - org.tensorflow.framework中的类: A collection of OpDefs Protobuf type tensorflow.OpList
OpListOrBuilder - org.tensorflow.framework中的接口
OPT_LEVEL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OptimizerOptions
OPTIMIZER_OPTIONS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphOptions
OptimizerOptions - org.tensorflow.framework中的类: Options passed to the graph optimizer Protobuf type tensorflow.OptimizerOptions
OptimizerOptions.Builder - org.tensorflow.framework中的类: Options passed to the graph optimizer Protobuf type tensorflow.OptimizerOptions
OptimizerOptions.GlobalJitLevel - org.tensorflow.framework中的枚举: Control the use of the compiler/jit.
OptimizerOptions.Level - org.tensorflow.framework中的枚举: Optimization level Protobuf enum tensorflow.OptimizerOptions.Level
OptimizerOptionsOrBuilder - org.tensorflow.framework中的接口
OPTIMIZERS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RewriterConfig
OPTIONS_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.MakeCallableRequest
OPTIONS_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunStepRequest
OPTIONS_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.TracingRequest
OPTIONS_FIELD_NUMBER - 类中的静态变量tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
org.tensorflow.distruntime - 程序包 org.tensorflow.distruntime
org.tensorflow.example - 程序包 org.tensorflow.example
org.tensorflow.framework - 程序包 org.tensorflow.framework
org.tensorflow.util - 程序包 org.tensorflow.util
ORIGINAL_VARIABLE_NODE_ID_FIELD_NUMBER - 类中的静态变量tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
OTHER_VALUE - 枚举中的静态变量tensorflow.serving.ModelServerConfigOuterClass.ModelType: OTHER = 2 [deprecated = true];
OUT_ARG_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ApiDef
OUT_OF_RANGE_VALUE - 枚举中的静态变量org.tensorflow.framework.Code: Operation tried to iterate past the valid input range.
OUTPUT_ARG_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef
OUTPUT_COUNT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferNodeInfo
OUTPUT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeExecStats
OUTPUT_FILTER_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Predict.PredictRequest
OUTPUT_INFO_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef.Node
OUTPUT_NUM_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
OUTPUT_PARTITION_GRAPHS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RunOptions
OUTPUT_PORT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferNodeInput
OUTPUT_SLOT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DebugTensorWatch
OUTPUTS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.SignatureDef
OUTPUTS_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Predict.PredictResponse

P

PADDING_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferNodeInfo
PARALLEL_ITERATIONS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.WhileContextDef
PARAMETER_MAP_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CleanupAllRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupAllRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CleanupAllResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupAllResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CloseSessionRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CloseSessionRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CloseSessionResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CloseSessionResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.ClusterDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ClusterDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CreateSessionRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateSessionRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CreateSessionResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateSessionResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.ExecutorOpts
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ExecutorOpts
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.GetStatusRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStatusRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.GetStatusResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStatusResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.JobDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.JobDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.LabeledStepStats
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.LabeledStepStats
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.ListDevicesRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ListDevicesRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.ListDevicesResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ListDevicesResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.LoggingRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.LoggingRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.LoggingResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.LoggingResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.MakeCallableRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.MakeCallableRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.MakeCallableResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.MakeCallableResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RecvBufRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvBufRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RecvBufResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvBufResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RecvTensorRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvTensorRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RecvTensorResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvTensorResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.ResetRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ResetRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.ResetResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ResetResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RunCallableRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunCallableRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RunCallableResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunCallableResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RunGraphRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunGraphRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RunGraphResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunGraphResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RunStepRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunStepRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RunStepResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunStepResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.ServerDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ServerDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.StepSequence
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.StepSequence
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.TraceOpts
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.TraceOpts
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.TracingRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.TracingRequest
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.TracingResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.TracingResponse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.example.BytesList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.BytesList
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.example.Example
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Example
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.example.ExampleParserConfiguration
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.ExampleParserConfiguration
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.example.Feature
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Feature
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.example.FeatureConfiguration
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FeatureConfiguration
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.example.FeatureList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FeatureList
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.example.FeatureLists
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FeatureLists
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.example.Features
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Features
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.example.FixedLenFeatureProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FixedLenFeatureProto
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.example.FloatList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FloatList
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.example.Int64List
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Int64List
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.example.SequenceExample
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.SequenceExample
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.example.VarLenFeatureProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.VarLenFeatureProto
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.AllocationDescription
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AllocationDescription
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.AllocationRecord
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AllocationRecord
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.AllocatorMemoryUsed
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AllocatorMemoryUsed
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ApiDef.Arg
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef.Arg
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ApiDef.Attr
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef.Attr
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ApiDef.Endpoint
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef.Endpoint
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ApiDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ApiDefs
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDefs
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.AssetFileDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AssetFileDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.AttrValue.ListValue
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AttrValue.ListValue
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.AttrValue
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AttrValue
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.AutoParallelOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AutoParallelOptions
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CallableOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CallableOptions
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CollectionDef.AnyList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.AnyList
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CollectionDef.BytesList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.BytesList
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CollectionDef.FloatList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.FloatList
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CollectionDef.Int64List
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.Int64List
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CollectionDef.NodeList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.NodeList
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CollectionDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CondContextDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CondContextDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ConfigProto.Experimental
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ConfigProto.Experimental
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ConfigProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ConfigProto
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ControlFlowContextDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ControlFlowContextDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CostGraphDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CriticalSectionDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CriticalSectionDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CriticalSectionExecutionDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CriticalSectionExecutionDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFile
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFile
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFiles
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFiles
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.DebugOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebugOptions
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.DebugTensorWatch
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebugTensorWatch
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.DeviceAttributes
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DeviceAttributes
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.DeviceLocality
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DeviceLocality
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.DeviceStepStats
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DeviceStepStats
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.FunctionDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.FunctionDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.FunctionDefLibrary
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.FunctionDefLibrary
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GPUOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GPUOptions
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GradientDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GradientDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GraphDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GraphOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphOptions
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferConstNodeInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferConstNodeInfo
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferInfo
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInfo
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInput
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInput
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInputInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInputInfo
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeOutputInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeOutputInfo
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.HistogramProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.HistogramProto
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.InterconnectLink
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.InterconnectLink
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.KernelDef.AttrConstraint
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.KernelDef.AttrConstraint
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.KernelDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.KernelDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.KernelList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.KernelList
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.LocalLinks
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.LocalLinks
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.MemoryLogRawAllocation
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogRawAllocation
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.MemoryLogRawDeallocation
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogRawDeallocation
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.MemoryLogStep
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogStep
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorAllocation
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorAllocation
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorDeallocation
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorDeallocation
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorOutput
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorOutput
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.MemoryStats
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryStats
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.MetaGraphDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MetaGraphDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.NameAttrList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NameAttrList
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.NamedTensorProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NamedTensorProto
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.NodeDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NodeDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.NodeExecStats
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NodeExecStats
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.NodeOutput
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NodeOutput
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.OpDef.ArgDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDef.ArgDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.OpDef.AttrDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDef.AttrDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.OpDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.OpDeprecation
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDeprecation
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.OpList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpList
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.OptimizerOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OptimizerOptions
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.QueueRunnerDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.QueueRunnerDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ReaderBaseState
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ReaderBaseState
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ResourceHandleProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ResourceHandleProto
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.RewriterConfig
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RewriterConfig
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.RPCOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RPCOptions
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.RunMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RunMetadata
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.RunOptions.Experimental
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RunOptions.Experimental
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.RunOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RunOptions
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.SavedModel
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SavedModel
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.SaveSliceInfoDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SaveSliceInfoDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ScopedAllocatorOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ScopedAllocatorOptions
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.SignatureDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SignatureDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.StepStats
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.StepStats
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.Summary.Audio
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary.Audio
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.Summary.Image
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary.Image
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.Summary
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.Summary.Value
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary.Value
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.SummaryDescription
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SummaryDescription
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.SummaryMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SummaryMetadata
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.SummaryMetadata.PluginData
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SummaryMetadata.PluginData
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.TensorConnection
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorConnection
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.TensorDescription
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorDescription
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.TensorInfo.CooSparse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorInfo.CooSparse
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.TensorInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorInfo
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.TensorProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorProto
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.TensorShapeProto.Dim
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorShapeProto.Dim
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.TensorShapeProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorShapeProto
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.TensorSliceProto.Extent
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorSliceProto.Extent
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.TensorSliceProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorSliceProto
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ThreadPoolOptionProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ThreadPoolOptionProto
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ValuesDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ValuesDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.VariableDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.VariableDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.VariantTensorDataProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.VariantTensorDataProto
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.VersionDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.VersionDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.framework.WhileContextDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.WhileContextDef
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.util.BundleEntryProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.BundleEntryProto
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.util.BundleHeaderProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.BundleHeaderProto
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.util.IteratorStateMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.IteratorStateMetadata
parseDelimitedFrom(InputStream) - 类中的静态方法org.tensorflow.util.SaverDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.SaverDef
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.DevicePropertiesProtos.DeviceProperties
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.DevicePropertiesProtos.DeviceProperties
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.DevicePropertiesProtos.NamedDevice
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.DevicePropertiesProtos.NamedDevice
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.Operation
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.Operation
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.Classification.Class
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.Class
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.Classification.ClassificationRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.ClassificationRequest
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.Classification.ClassificationResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.ClassificationResponse
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.Classification.ClassificationResult
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.ClassificationResult
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.Classification.Classifications
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.Classifications
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.GetModelMetadata.SignatureDefMap
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelMetadata.SignatureDefMap
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.Inference.InferenceResult
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.InferenceResult
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.Inference.InferenceTask
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.InferenceTask
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceRequest
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceResponse
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleList
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleListWithContext
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleListWithContext
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.InputOuterClass.Input
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.InputOuterClass.Input
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.Logging.LogMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Logging.LogMetadata
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.Model.ModelSpec
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Model.ModelSpec
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigRequest
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigResponse
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.Predict.PredictRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Predict.PredictRequest
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.Predict.PredictResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Predict.PredictResponse
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictLog
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictLog
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.RegressLog
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.RegressLog
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.RegressionOuterClass.Regression
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.Regression
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionRequest
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResponse
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResult
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResult
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.SslConfig.SSLConfig
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.SslConfig.SSLConfig
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.serving.Status.StatusProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Status.StatusProto
parseDelimitedFrom(InputStream) - 类中的静态方法tensorflow.TransportOptions.RecvBufRespExtra
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.TransportOptions.RecvBufRespExtra
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.CleanupAllRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupAllRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.CleanupAllRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupAllRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.CleanupAllRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupAllRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CleanupAllRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupAllRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.CleanupAllRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupAllRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.CleanupAllResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupAllResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.CleanupAllResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupAllResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.CleanupAllResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupAllResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CleanupAllResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupAllResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.CleanupAllResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupAllResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CleanupGraphResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.CloseSessionRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CloseSessionRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.CloseSessionRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CloseSessionRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.CloseSessionRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CloseSessionRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CloseSessionRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CloseSessionRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.CloseSessionRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CloseSessionRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.CloseSessionResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CloseSessionResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.CloseSessionResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CloseSessionResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.CloseSessionResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CloseSessionResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CloseSessionResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CloseSessionResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.CloseSessionResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CloseSessionResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.ClusterDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ClusterDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.ClusterDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ClusterDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.ClusterDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ClusterDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.ClusterDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ClusterDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.ClusterDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ClusterDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteGroupResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.CreateSessionRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateSessionRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.CreateSessionRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateSessionRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.CreateSessionRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateSessionRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CreateSessionRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateSessionRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.CreateSessionRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateSessionRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.CreateSessionResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateSessionResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.CreateSessionResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateSessionResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.CreateSessionResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateSessionResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CreateSessionResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateSessionResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.CreateSessionResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateSessionResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.ExecutorOpts
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ExecutorOpts
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.ExecutorOpts
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ExecutorOpts
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.ExecutorOpts
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ExecutorOpts
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.ExecutorOpts
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ExecutorOpts
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.ExecutorOpts
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ExecutorOpts
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ExtendSessionResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.GetStatusRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStatusRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.GetStatusRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStatusRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.GetStatusRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStatusRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.GetStatusRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStatusRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.GetStatusRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStatusRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.GetStatusResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStatusResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.GetStatusResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStatusResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.GetStatusResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStatusResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.GetStatusResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStatusResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.GetStatusResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStatusResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.JobDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.JobDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.JobDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.JobDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.JobDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.JobDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.JobDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.JobDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.JobDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.JobDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.LabeledStepStats
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.LabeledStepStats
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.LabeledStepStats
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.LabeledStepStats
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.LabeledStepStats
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.LabeledStepStats
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.LabeledStepStats
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.LabeledStepStats
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.LabeledStepStats
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.LabeledStepStats
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.ListDevicesRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ListDevicesRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.ListDevicesRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ListDevicesRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.ListDevicesRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ListDevicesRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.ListDevicesRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ListDevicesRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.ListDevicesRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ListDevicesRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.ListDevicesResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ListDevicesResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.ListDevicesResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ListDevicesResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.ListDevicesResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ListDevicesResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.ListDevicesResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ListDevicesResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.ListDevicesResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ListDevicesResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.LoggingRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.LoggingRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.LoggingRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.LoggingRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.LoggingRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.LoggingRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.LoggingRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.LoggingRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.LoggingRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.LoggingRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.LoggingResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.LoggingResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.LoggingResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.LoggingResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.LoggingResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.LoggingResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.LoggingResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.LoggingResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.LoggingResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.LoggingResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.MakeCallableRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.MakeCallableRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.MakeCallableRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.MakeCallableRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.MakeCallableRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.MakeCallableRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.MakeCallableRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.MakeCallableRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.MakeCallableRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.MakeCallableRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.MakeCallableResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.MakeCallableResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.MakeCallableResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.MakeCallableResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.MakeCallableResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.MakeCallableResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.MakeCallableResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.MakeCallableResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.MakeCallableResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.MakeCallableResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.RecvBufRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvBufRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.RecvBufRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvBufRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.RecvBufRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvBufRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RecvBufRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvBufRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.RecvBufRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvBufRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.RecvBufResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvBufResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.RecvBufResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvBufResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.RecvBufResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvBufResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RecvBufResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvBufResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.RecvBufResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvBufResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.RecvTensorRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvTensorRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.RecvTensorRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvTensorRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.RecvTensorRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvTensorRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RecvTensorRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvTensorRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.RecvTensorRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvTensorRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.RecvTensorResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvTensorResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.RecvTensorResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvTensorResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.RecvTensorResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvTensorResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RecvTensorResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvTensorResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.RecvTensorResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RecvTensorResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RegisterGraphResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.ResetRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ResetRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.ResetRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ResetRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.ResetRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ResetRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.ResetRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ResetRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.ResetRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ResetRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.ResetResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ResetResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.ResetResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ResetResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.ResetResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ResetResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.ResetResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ResetResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.ResetResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ResetResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.RunCallableRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunCallableRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.RunCallableRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunCallableRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.RunCallableRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunCallableRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RunCallableRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunCallableRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.RunCallableRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunCallableRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.RunCallableResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunCallableResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.RunCallableResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunCallableResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.RunCallableResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunCallableResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RunCallableResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunCallableResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.RunCallableResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunCallableResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.RunGraphRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunGraphRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.RunGraphRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunGraphRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.RunGraphRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunGraphRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RunGraphRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunGraphRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.RunGraphRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunGraphRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.RunGraphResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunGraphResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.RunGraphResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunGraphResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.RunGraphResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunGraphResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RunGraphResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunGraphResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.RunGraphResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunGraphResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.RunStepRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunStepRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.RunStepRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunStepRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.RunStepRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunStepRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RunStepRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunStepRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.RunStepRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunStepRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.RunStepResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunStepResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.RunStepResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunStepResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.RunStepResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunStepResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.RunStepResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunStepResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.RunStepResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.RunStepResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.ServerDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ServerDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.ServerDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ServerDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.ServerDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ServerDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.ServerDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ServerDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.ServerDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ServerDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.StepSequence
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.StepSequence
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.StepSequence
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.StepSequence
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.StepSequence
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.StepSequence
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.StepSequence
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.StepSequence
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.StepSequence
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.StepSequence
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.TraceOpts
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.TraceOpts
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.TraceOpts
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.TraceOpts
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.TraceOpts
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.TraceOpts
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.TraceOpts
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.TraceOpts
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.TraceOpts
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.TraceOpts
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.TracingRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.TracingRequest
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.TracingRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.TracingRequest
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.TracingRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.TracingRequest
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.TracingRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.TracingRequest
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.TracingRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.TracingRequest
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.distruntime.TracingResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.TracingResponse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.distruntime.TracingResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.TracingResponse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.distruntime.TracingResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.TracingResponse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.distruntime.TracingResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.TracingResponse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.distruntime.TracingResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.TracingResponse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.example.BytesList
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.BytesList
parseFrom(ByteString) - 类中的静态方法org.tensorflow.example.BytesList
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.BytesList
parseFrom(byte[]) - 类中的静态方法org.tensorflow.example.BytesList
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.BytesList
parseFrom(InputStream) - 类中的静态方法org.tensorflow.example.BytesList
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.BytesList
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.example.BytesList
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.BytesList
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.example.Example
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Example
parseFrom(ByteString) - 类中的静态方法org.tensorflow.example.Example
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Example
parseFrom(byte[]) - 类中的静态方法org.tensorflow.example.Example
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Example
parseFrom(InputStream) - 类中的静态方法org.tensorflow.example.Example
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Example
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.example.Example
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Example
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.example.ExampleParserConfiguration
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.ExampleParserConfiguration
parseFrom(ByteString) - 类中的静态方法org.tensorflow.example.ExampleParserConfiguration
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.ExampleParserConfiguration
parseFrom(byte[]) - 类中的静态方法org.tensorflow.example.ExampleParserConfiguration
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.ExampleParserConfiguration
parseFrom(InputStream) - 类中的静态方法org.tensorflow.example.ExampleParserConfiguration
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.ExampleParserConfiguration
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.example.ExampleParserConfiguration
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.ExampleParserConfiguration
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.example.Feature
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Feature
parseFrom(ByteString) - 类中的静态方法org.tensorflow.example.Feature
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Feature
parseFrom(byte[]) - 类中的静态方法org.tensorflow.example.Feature
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Feature
parseFrom(InputStream) - 类中的静态方法org.tensorflow.example.Feature
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Feature
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.example.Feature
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Feature
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.example.FeatureConfiguration
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FeatureConfiguration
parseFrom(ByteString) - 类中的静态方法org.tensorflow.example.FeatureConfiguration
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FeatureConfiguration
parseFrom(byte[]) - 类中的静态方法org.tensorflow.example.FeatureConfiguration
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FeatureConfiguration
parseFrom(InputStream) - 类中的静态方法org.tensorflow.example.FeatureConfiguration
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FeatureConfiguration
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.example.FeatureConfiguration
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FeatureConfiguration
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.example.FeatureList
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FeatureList
parseFrom(ByteString) - 类中的静态方法org.tensorflow.example.FeatureList
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FeatureList
parseFrom(byte[]) - 类中的静态方法org.tensorflow.example.FeatureList
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FeatureList
parseFrom(InputStream) - 类中的静态方法org.tensorflow.example.FeatureList
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FeatureList
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.example.FeatureList
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FeatureList
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.example.FeatureLists
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FeatureLists
parseFrom(ByteString) - 类中的静态方法org.tensorflow.example.FeatureLists
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FeatureLists
parseFrom(byte[]) - 类中的静态方法org.tensorflow.example.FeatureLists
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FeatureLists
parseFrom(InputStream) - 类中的静态方法org.tensorflow.example.FeatureLists
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FeatureLists
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.example.FeatureLists
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FeatureLists
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.example.Features
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Features
parseFrom(ByteString) - 类中的静态方法org.tensorflow.example.Features
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Features
parseFrom(byte[]) - 类中的静态方法org.tensorflow.example.Features
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Features
parseFrom(InputStream) - 类中的静态方法org.tensorflow.example.Features
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Features
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.example.Features
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Features
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.example.FixedLenFeatureProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FixedLenFeatureProto
parseFrom(ByteString) - 类中的静态方法org.tensorflow.example.FixedLenFeatureProto
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FixedLenFeatureProto
parseFrom(byte[]) - 类中的静态方法org.tensorflow.example.FixedLenFeatureProto
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FixedLenFeatureProto
parseFrom(InputStream) - 类中的静态方法org.tensorflow.example.FixedLenFeatureProto
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FixedLenFeatureProto
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.example.FixedLenFeatureProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FixedLenFeatureProto
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.example.FloatList
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FloatList
parseFrom(ByteString) - 类中的静态方法org.tensorflow.example.FloatList
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FloatList
parseFrom(byte[]) - 类中的静态方法org.tensorflow.example.FloatList
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FloatList
parseFrom(InputStream) - 类中的静态方法org.tensorflow.example.FloatList
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FloatList
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.example.FloatList
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FloatList
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.example.Int64List
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Int64List
parseFrom(ByteString) - 类中的静态方法org.tensorflow.example.Int64List
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Int64List
parseFrom(byte[]) - 类中的静态方法org.tensorflow.example.Int64List
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Int64List
parseFrom(InputStream) - 类中的静态方法org.tensorflow.example.Int64List
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Int64List
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.example.Int64List
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.Int64List
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.example.SequenceExample
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.SequenceExample
parseFrom(ByteString) - 类中的静态方法org.tensorflow.example.SequenceExample
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.SequenceExample
parseFrom(byte[]) - 类中的静态方法org.tensorflow.example.SequenceExample
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.SequenceExample
parseFrom(InputStream) - 类中的静态方法org.tensorflow.example.SequenceExample
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.SequenceExample
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.example.SequenceExample
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.SequenceExample
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.example.VarLenFeatureProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.VarLenFeatureProto
parseFrom(ByteString) - 类中的静态方法org.tensorflow.example.VarLenFeatureProto
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.VarLenFeatureProto
parseFrom(byte[]) - 类中的静态方法org.tensorflow.example.VarLenFeatureProto
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.VarLenFeatureProto
parseFrom(InputStream) - 类中的静态方法org.tensorflow.example.VarLenFeatureProto
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.VarLenFeatureProto
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.example.VarLenFeatureProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.VarLenFeatureProto
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.AllocationDescription
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AllocationDescription
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.AllocationDescription
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AllocationDescription
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.AllocationDescription
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AllocationDescription
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.AllocationDescription
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AllocationDescription
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.AllocationDescription
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AllocationDescription
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.AllocationRecord
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AllocationRecord
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.AllocationRecord
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AllocationRecord
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.AllocationRecord
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AllocationRecord
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.AllocationRecord
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AllocationRecord
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.AllocationRecord
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AllocationRecord
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.AllocatorMemoryUsed
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AllocatorMemoryUsed
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.AllocatorMemoryUsed
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AllocatorMemoryUsed
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.AllocatorMemoryUsed
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AllocatorMemoryUsed
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.AllocatorMemoryUsed
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AllocatorMemoryUsed
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.AllocatorMemoryUsed
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AllocatorMemoryUsed
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.ApiDef.Arg
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef.Arg
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.ApiDef.Arg
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef.Arg
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.ApiDef.Arg
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef.Arg
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ApiDef.Arg
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef.Arg
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.ApiDef.Arg
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef.Arg
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.ApiDef.Attr
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef.Attr
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.ApiDef.Attr
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef.Attr
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.ApiDef.Attr
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef.Attr
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ApiDef.Attr
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef.Attr
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.ApiDef.Attr
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef.Attr
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.ApiDef.Endpoint
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef.Endpoint
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.ApiDef.Endpoint
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef.Endpoint
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.ApiDef.Endpoint
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef.Endpoint
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ApiDef.Endpoint
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef.Endpoint
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.ApiDef.Endpoint
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef.Endpoint
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.ApiDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.ApiDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.ApiDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ApiDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.ApiDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.ApiDefs
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDefs
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.ApiDefs
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDefs
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.ApiDefs
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDefs
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ApiDefs
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDefs
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.ApiDefs
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDefs
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.AssetFileDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AssetFileDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.AssetFileDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AssetFileDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.AssetFileDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AssetFileDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.AssetFileDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AssetFileDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.AssetFileDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AssetFileDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.AttrValue.ListValue
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AttrValue.ListValue
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.AttrValue.ListValue
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AttrValue.ListValue
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.AttrValue.ListValue
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AttrValue.ListValue
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.AttrValue.ListValue
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AttrValue.ListValue
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.AttrValue.ListValue
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AttrValue.ListValue
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.AttrValue
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AttrValue
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.AttrValue
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AttrValue
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.AttrValue
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AttrValue
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.AttrValue
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AttrValue
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.AttrValue
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AttrValue
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.AutoParallelOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AutoParallelOptions
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.AutoParallelOptions
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AutoParallelOptions
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.AutoParallelOptions
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AutoParallelOptions
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.AutoParallelOptions
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AutoParallelOptions
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.AutoParallelOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AutoParallelOptions
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.CallableOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CallableOptions
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.CallableOptions
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CallableOptions
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.CallableOptions
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CallableOptions
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CallableOptions
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CallableOptions
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.CallableOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CallableOptions
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.CollectionDef.AnyList
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.AnyList
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.CollectionDef.AnyList
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.AnyList
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.CollectionDef.AnyList
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.AnyList
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CollectionDef.AnyList
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.AnyList
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.CollectionDef.AnyList
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.AnyList
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.CollectionDef.BytesList
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.BytesList
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.CollectionDef.BytesList
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.BytesList
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.CollectionDef.BytesList
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.BytesList
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CollectionDef.BytesList
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.BytesList
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.CollectionDef.BytesList
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.BytesList
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.CollectionDef.FloatList
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.FloatList
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.CollectionDef.FloatList
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.FloatList
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.CollectionDef.FloatList
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.FloatList
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CollectionDef.FloatList
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.FloatList
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.CollectionDef.FloatList
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.FloatList
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.CollectionDef.Int64List
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.Int64List
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.CollectionDef.Int64List
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.Int64List
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.CollectionDef.Int64List
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.Int64List
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CollectionDef.Int64List
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.Int64List
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.CollectionDef.Int64List
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.Int64List
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.CollectionDef.NodeList
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.NodeList
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.CollectionDef.NodeList
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.NodeList
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.CollectionDef.NodeList
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.NodeList
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CollectionDef.NodeList
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.NodeList
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.CollectionDef.NodeList
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef.NodeList
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.CollectionDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.CollectionDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.CollectionDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CollectionDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.CollectionDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CollectionDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.CondContextDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CondContextDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.CondContextDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CondContextDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.CondContextDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CondContextDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CondContextDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CondContextDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.CondContextDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CondContextDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.ConfigProto.Experimental
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ConfigProto.Experimental
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.ConfigProto.Experimental
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ConfigProto.Experimental
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.ConfigProto.Experimental
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ConfigProto.Experimental
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ConfigProto.Experimental
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ConfigProto.Experimental
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.ConfigProto.Experimental
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ConfigProto.Experimental
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.ConfigProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ConfigProto
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.ConfigProto
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ConfigProto
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.ConfigProto
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ConfigProto
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ConfigProto
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ConfigProto
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.ConfigProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ConfigProto
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.ControlFlowContextDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ControlFlowContextDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.ControlFlowContextDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ControlFlowContextDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.ControlFlowContextDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ControlFlowContextDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ControlFlowContextDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ControlFlowContextDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.ControlFlowContextDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ControlFlowContextDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.CostGraphDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.CostGraphDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.CostGraphDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CostGraphDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.CostGraphDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.CriticalSectionDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CriticalSectionDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.CriticalSectionDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CriticalSectionDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.CriticalSectionDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CriticalSectionDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CriticalSectionDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CriticalSectionDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.CriticalSectionDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CriticalSectionDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.CriticalSectionExecutionDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CriticalSectionExecutionDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.CriticalSectionExecutionDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CriticalSectionExecutionDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.CriticalSectionExecutionDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CriticalSectionExecutionDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.CriticalSectionExecutionDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CriticalSectionExecutionDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.CriticalSectionExecutionDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CriticalSectionExecutionDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFile
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFile
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFile
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFile
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFile
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFile
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFile
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFile
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFile
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFile
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFiles
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFiles
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFiles
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFiles
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFiles
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFiles
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFiles
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFiles
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFiles
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebuggedSourceFiles
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.DebugOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebugOptions
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.DebugOptions
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebugOptions
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.DebugOptions
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebugOptions
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.DebugOptions
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebugOptions
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.DebugOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebugOptions
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.DebugTensorWatch
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebugTensorWatch
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.DebugTensorWatch
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebugTensorWatch
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.DebugTensorWatch
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebugTensorWatch
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.DebugTensorWatch
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebugTensorWatch
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.DebugTensorWatch
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebugTensorWatch
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.DeviceAttributes
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DeviceAttributes
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.DeviceAttributes
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DeviceAttributes
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.DeviceAttributes
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DeviceAttributes
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.DeviceAttributes
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DeviceAttributes
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.DeviceAttributes
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DeviceAttributes
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.DeviceLocality
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DeviceLocality
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.DeviceLocality
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DeviceLocality
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.DeviceLocality
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DeviceLocality
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.DeviceLocality
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DeviceLocality
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.DeviceLocality
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DeviceLocality
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.DeviceStepStats
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DeviceStepStats
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.DeviceStepStats
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DeviceStepStats
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.DeviceStepStats
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DeviceStepStats
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.DeviceStepStats
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DeviceStepStats
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.DeviceStepStats
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DeviceStepStats
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.FunctionDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.FunctionDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.FunctionDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.FunctionDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.FunctionDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.FunctionDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.FunctionDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.FunctionDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.FunctionDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.FunctionDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.FunctionDefLibrary
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.FunctionDefLibrary
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.FunctionDefLibrary
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.FunctionDefLibrary
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.FunctionDefLibrary
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.FunctionDefLibrary
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.FunctionDefLibrary
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.FunctionDefLibrary
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.FunctionDefLibrary
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.FunctionDefLibrary
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.GPUOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GPUOptions
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.GPUOptions
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GPUOptions
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.GPUOptions
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GPUOptions
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GPUOptions
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GPUOptions
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.GPUOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GPUOptions
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.GradientDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GradientDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.GradientDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GradientDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.GradientDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GradientDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GradientDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GradientDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.GradientDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GradientDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.GraphDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.GraphDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.GraphDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GraphDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.GraphDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.GraphOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphOptions
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.GraphOptions
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphOptions
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.GraphOptions
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphOptions
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GraphOptions
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphOptions
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.GraphOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphOptions
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.GraphTransferConstNodeInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferConstNodeInfo
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.GraphTransferConstNodeInfo
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferConstNodeInfo
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.GraphTransferConstNodeInfo
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferConstNodeInfo
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferConstNodeInfo
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferConstNodeInfo
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferConstNodeInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferConstNodeInfo
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.GraphTransferInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferInfo
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.GraphTransferInfo
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferInfo
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.GraphTransferInfo
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferInfo
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferInfo
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferInfo
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferInfo
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInfo
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInfo
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInfo
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInfo
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInfo
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInfo
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInfo
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInfo
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInput
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInput
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInput
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInput
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInput
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInput
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInput
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInput
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInput
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInput
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInputInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInputInfo
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInputInfo
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInputInfo
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInputInfo
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInputInfo
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInputInfo
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInputInfo
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInputInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInputInfo
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeOutputInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeOutputInfo
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeOutputInfo
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeOutputInfo
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeOutputInfo
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeOutputInfo
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeOutputInfo
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeOutputInfo
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeOutputInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferNodeOutputInfo
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.HistogramProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.HistogramProto
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.HistogramProto
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.HistogramProto
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.HistogramProto
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.HistogramProto
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.HistogramProto
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.HistogramProto
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.HistogramProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.HistogramProto
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.InterconnectLink
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.InterconnectLink
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.InterconnectLink
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.InterconnectLink
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.InterconnectLink
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.InterconnectLink
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.InterconnectLink
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.InterconnectLink
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.InterconnectLink
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.InterconnectLink
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.KernelDef.AttrConstraint
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.KernelDef.AttrConstraint
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.KernelDef.AttrConstraint
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.KernelDef.AttrConstraint
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.KernelDef.AttrConstraint
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.KernelDef.AttrConstraint
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.KernelDef.AttrConstraint
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.KernelDef.AttrConstraint
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.KernelDef.AttrConstraint
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.KernelDef.AttrConstraint
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.KernelDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.KernelDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.KernelDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.KernelDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.KernelDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.KernelDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.KernelDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.KernelDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.KernelDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.KernelDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.KernelList
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.KernelList
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.KernelList
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.KernelList
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.KernelList
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.KernelList
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.KernelList
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.KernelList
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.KernelList
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.KernelList
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.LocalLinks
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.LocalLinks
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.LocalLinks
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.LocalLinks
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.LocalLinks
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.LocalLinks
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.LocalLinks
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.LocalLinks
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.LocalLinks
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.LocalLinks
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.MemoryLogRawAllocation
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogRawAllocation
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.MemoryLogRawAllocation
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogRawAllocation
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.MemoryLogRawAllocation
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogRawAllocation
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.MemoryLogRawAllocation
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogRawAllocation
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.MemoryLogRawAllocation
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogRawAllocation
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.MemoryLogRawDeallocation
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogRawDeallocation
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.MemoryLogRawDeallocation
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogRawDeallocation
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.MemoryLogRawDeallocation
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogRawDeallocation
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.MemoryLogRawDeallocation
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogRawDeallocation
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.MemoryLogRawDeallocation
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogRawDeallocation
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.MemoryLogStep
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogStep
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.MemoryLogStep
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogStep
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.MemoryLogStep
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogStep
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.MemoryLogStep
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogStep
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.MemoryLogStep
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogStep
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorAllocation
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorAllocation
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorAllocation
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorAllocation
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorAllocation
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorAllocation
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorAllocation
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorAllocation
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorAllocation
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorAllocation
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorDeallocation
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorDeallocation
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorDeallocation
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorDeallocation
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorDeallocation
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorDeallocation
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorDeallocation
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorDeallocation
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorDeallocation
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorDeallocation
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorOutput
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorOutput
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorOutput
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorOutput
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorOutput
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorOutput
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorOutput
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorOutput
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorOutput
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryLogTensorOutput
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.MemoryStats
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryStats
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.MemoryStats
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryStats
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.MemoryStats
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryStats
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.MemoryStats
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryStats
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.MemoryStats
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MemoryStats
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.MetaGraphDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MetaGraphDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.MetaGraphDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MetaGraphDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.MetaGraphDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MetaGraphDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.MetaGraphDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MetaGraphDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.MetaGraphDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MetaGraphDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.NameAttrList
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NameAttrList
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.NameAttrList
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NameAttrList
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.NameAttrList
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NameAttrList
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.NameAttrList
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NameAttrList
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.NameAttrList
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NameAttrList
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.NamedTensorProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NamedTensorProto
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.NamedTensorProto
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NamedTensorProto
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.NamedTensorProto
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NamedTensorProto
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.NamedTensorProto
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NamedTensorProto
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.NamedTensorProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NamedTensorProto
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.NodeDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NodeDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.NodeDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NodeDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.NodeDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NodeDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.NodeDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NodeDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.NodeDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NodeDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.NodeExecStats
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NodeExecStats
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.NodeExecStats
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NodeExecStats
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.NodeExecStats
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NodeExecStats
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.NodeExecStats
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NodeExecStats
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.NodeExecStats
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NodeExecStats
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.NodeOutput
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NodeOutput
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.NodeOutput
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NodeOutput
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.NodeOutput
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NodeOutput
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.NodeOutput
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NodeOutput
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.NodeOutput
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NodeOutput
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.OpDef.ArgDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDef.ArgDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.OpDef.ArgDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDef.ArgDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.OpDef.ArgDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDef.ArgDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.OpDef.ArgDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDef.ArgDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.OpDef.ArgDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDef.ArgDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.OpDef.AttrDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDef.AttrDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.OpDef.AttrDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDef.AttrDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.OpDef.AttrDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDef.AttrDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.OpDef.AttrDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDef.AttrDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.OpDef.AttrDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDef.AttrDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.OpDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.OpDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.OpDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.OpDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.OpDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.OpDeprecation
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDeprecation
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.OpDeprecation
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDeprecation
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.OpDeprecation
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDeprecation
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.OpDeprecation
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDeprecation
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.OpDeprecation
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDeprecation
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.OpList
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpList
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.OpList
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpList
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.OpList
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpList
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.OpList
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpList
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.OpList
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpList
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.OptimizerOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OptimizerOptions
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.OptimizerOptions
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OptimizerOptions
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.OptimizerOptions
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OptimizerOptions
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.OptimizerOptions
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OptimizerOptions
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.OptimizerOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OptimizerOptions
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.QueueRunnerDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.QueueRunnerDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.QueueRunnerDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.QueueRunnerDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.QueueRunnerDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.QueueRunnerDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.QueueRunnerDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.QueueRunnerDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.QueueRunnerDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.QueueRunnerDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.ReaderBaseState
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ReaderBaseState
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.ReaderBaseState
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ReaderBaseState
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.ReaderBaseState
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ReaderBaseState
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ReaderBaseState
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ReaderBaseState
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.ReaderBaseState
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ReaderBaseState
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.ResourceHandleProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ResourceHandleProto
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.ResourceHandleProto
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ResourceHandleProto
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.ResourceHandleProto
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ResourceHandleProto
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ResourceHandleProto
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ResourceHandleProto
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.ResourceHandleProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ResourceHandleProto
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.RewriterConfig
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RewriterConfig
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.RewriterConfig
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RewriterConfig
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.RewriterConfig
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RewriterConfig
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.RewriterConfig
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RewriterConfig
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.RewriterConfig
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RewriterConfig
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.RPCOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RPCOptions
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.RPCOptions
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RPCOptions
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.RPCOptions
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RPCOptions
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.RPCOptions
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RPCOptions
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.RPCOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RPCOptions
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.RunMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RunMetadata
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.RunMetadata
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RunMetadata
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.RunMetadata
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RunMetadata
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.RunMetadata
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RunMetadata
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.RunMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RunMetadata
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.RunOptions.Experimental
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RunOptions.Experimental
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.RunOptions.Experimental
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RunOptions.Experimental
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.RunOptions.Experimental
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RunOptions.Experimental
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.RunOptions.Experimental
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RunOptions.Experimental
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.RunOptions.Experimental
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RunOptions.Experimental
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.RunOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RunOptions
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.RunOptions
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RunOptions
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.RunOptions
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RunOptions
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.RunOptions
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RunOptions
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.RunOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RunOptions
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.SavedModel
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SavedModel
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.SavedModel
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SavedModel
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.SavedModel
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SavedModel
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.SavedModel
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SavedModel
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.SavedModel
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SavedModel
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.SaveSliceInfoDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SaveSliceInfoDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.SaveSliceInfoDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SaveSliceInfoDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.SaveSliceInfoDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SaveSliceInfoDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.SaveSliceInfoDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SaveSliceInfoDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.SaveSliceInfoDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SaveSliceInfoDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.ScopedAllocatorOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ScopedAllocatorOptions
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.ScopedAllocatorOptions
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ScopedAllocatorOptions
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.ScopedAllocatorOptions
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ScopedAllocatorOptions
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ScopedAllocatorOptions
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ScopedAllocatorOptions
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.ScopedAllocatorOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ScopedAllocatorOptions
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.SignatureDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SignatureDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.SignatureDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SignatureDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.SignatureDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SignatureDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.SignatureDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SignatureDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.SignatureDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SignatureDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.StepStats
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.StepStats
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.StepStats
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.StepStats
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.StepStats
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.StepStats
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.StepStats
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.StepStats
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.StepStats
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.StepStats
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.Summary.Audio
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary.Audio
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.Summary.Audio
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary.Audio
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.Summary.Audio
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary.Audio
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.Summary.Audio
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary.Audio
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.Summary.Audio
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary.Audio
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.Summary.Image
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary.Image
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.Summary.Image
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary.Image
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.Summary.Image
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary.Image
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.Summary.Image
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary.Image
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.Summary.Image
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary.Image
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.Summary
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.Summary
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.Summary
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.Summary
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.Summary
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.Summary.Value
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary.Value
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.Summary.Value
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary.Value
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.Summary.Value
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary.Value
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.Summary.Value
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary.Value
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.Summary.Value
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.Summary.Value
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.SummaryDescription
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SummaryDescription
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.SummaryDescription
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SummaryDescription
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.SummaryDescription
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SummaryDescription
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.SummaryDescription
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SummaryDescription
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.SummaryDescription
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SummaryDescription
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.SummaryMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SummaryMetadata
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.SummaryMetadata
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SummaryMetadata
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.SummaryMetadata
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SummaryMetadata
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.SummaryMetadata
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SummaryMetadata
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.SummaryMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SummaryMetadata
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.SummaryMetadata.PluginData
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SummaryMetadata.PluginData
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.SummaryMetadata.PluginData
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SummaryMetadata.PluginData
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.SummaryMetadata.PluginData
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SummaryMetadata.PluginData
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.SummaryMetadata.PluginData
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SummaryMetadata.PluginData
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.SummaryMetadata.PluginData
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SummaryMetadata.PluginData
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.TensorConnection
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorConnection
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.TensorConnection
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorConnection
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.TensorConnection
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorConnection
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.TensorConnection
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorConnection
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.TensorConnection
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorConnection
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.TensorDescription
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorDescription
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.TensorDescription
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorDescription
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.TensorDescription
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorDescription
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.TensorDescription
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorDescription
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.TensorDescription
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorDescription
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.TensorInfo.CooSparse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorInfo.CooSparse
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.TensorInfo.CooSparse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorInfo.CooSparse
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.TensorInfo.CooSparse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorInfo.CooSparse
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.TensorInfo.CooSparse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorInfo.CooSparse
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.TensorInfo.CooSparse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorInfo.CooSparse
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.TensorInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorInfo
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.TensorInfo
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorInfo
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.TensorInfo
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorInfo
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.TensorInfo
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorInfo
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.TensorInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorInfo
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.TensorProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorProto
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.TensorProto
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorProto
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.TensorProto
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorProto
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.TensorProto
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorProto
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.TensorProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorProto
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.TensorShapeProto.Dim
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorShapeProto.Dim
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.TensorShapeProto.Dim
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorShapeProto.Dim
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.TensorShapeProto.Dim
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorShapeProto.Dim
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.TensorShapeProto.Dim
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorShapeProto.Dim
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.TensorShapeProto.Dim
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorShapeProto.Dim
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.TensorShapeProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorShapeProto
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.TensorShapeProto
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorShapeProto
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.TensorShapeProto
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorShapeProto
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.TensorShapeProto
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorShapeProto
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.TensorShapeProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorShapeProto
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.TensorSliceProto.Extent
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorSliceProto.Extent
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.TensorSliceProto.Extent
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorSliceProto.Extent
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.TensorSliceProto.Extent
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorSliceProto.Extent
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.TensorSliceProto.Extent
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorSliceProto.Extent
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.TensorSliceProto.Extent
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorSliceProto.Extent
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.TensorSliceProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorSliceProto
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.TensorSliceProto
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorSliceProto
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.TensorSliceProto
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorSliceProto
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.TensorSliceProto
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorSliceProto
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.TensorSliceProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorSliceProto
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.ThreadPoolOptionProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ThreadPoolOptionProto
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.ThreadPoolOptionProto
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ThreadPoolOptionProto
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.ThreadPoolOptionProto
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ThreadPoolOptionProto
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ThreadPoolOptionProto
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ThreadPoolOptionProto
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.ThreadPoolOptionProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ThreadPoolOptionProto
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.ValuesDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ValuesDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.ValuesDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ValuesDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.ValuesDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ValuesDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.ValuesDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ValuesDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.ValuesDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ValuesDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.VariableDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.VariableDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.VariableDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.VariableDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.VariableDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.VariableDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.VariableDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.VariableDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.VariableDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.VariableDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.VariantTensorDataProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.VariantTensorDataProto
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.VariantTensorDataProto
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.VariantTensorDataProto
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.VariantTensorDataProto
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.VariantTensorDataProto
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.VariantTensorDataProto
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.VariantTensorDataProto
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.VariantTensorDataProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.VariantTensorDataProto
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.VersionDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.VersionDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.VersionDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.VersionDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.VersionDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.VersionDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.VersionDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.VersionDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.VersionDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.VersionDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.framework.WhileContextDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.WhileContextDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.framework.WhileContextDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.WhileContextDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.framework.WhileContextDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.WhileContextDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.framework.WhileContextDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.WhileContextDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.framework.WhileContextDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.WhileContextDef
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.util.BundleEntryProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.BundleEntryProto
parseFrom(ByteString) - 类中的静态方法org.tensorflow.util.BundleEntryProto
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.BundleEntryProto
parseFrom(byte[]) - 类中的静态方法org.tensorflow.util.BundleEntryProto
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.BundleEntryProto
parseFrom(InputStream) - 类中的静态方法org.tensorflow.util.BundleEntryProto
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.BundleEntryProto
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.util.BundleEntryProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.BundleEntryProto
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.util.BundleHeaderProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.BundleHeaderProto
parseFrom(ByteString) - 类中的静态方法org.tensorflow.util.BundleHeaderProto
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.BundleHeaderProto
parseFrom(byte[]) - 类中的静态方法org.tensorflow.util.BundleHeaderProto
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.BundleHeaderProto
parseFrom(InputStream) - 类中的静态方法org.tensorflow.util.BundleHeaderProto
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.BundleHeaderProto
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.util.BundleHeaderProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.BundleHeaderProto
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.util.IteratorStateMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.IteratorStateMetadata
parseFrom(ByteString) - 类中的静态方法org.tensorflow.util.IteratorStateMetadata
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.IteratorStateMetadata
parseFrom(byte[]) - 类中的静态方法org.tensorflow.util.IteratorStateMetadata
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.IteratorStateMetadata
parseFrom(InputStream) - 类中的静态方法org.tensorflow.util.IteratorStateMetadata
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.IteratorStateMetadata
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.util.IteratorStateMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.IteratorStateMetadata
parseFrom(ByteBuffer) - 类中的静态方法org.tensorflow.util.SaverDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.SaverDef
parseFrom(ByteString) - 类中的静态方法org.tensorflow.util.SaverDef
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.SaverDef
parseFrom(byte[]) - 类中的静态方法org.tensorflow.util.SaverDef
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.SaverDef
parseFrom(InputStream) - 类中的静态方法org.tensorflow.util.SaverDef
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.SaverDef
parseFrom(CodedInputStream) - 类中的静态方法org.tensorflow.util.SaverDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.SaverDef
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
parseFrom(ByteString) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
parseFrom(byte[]) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
parseFrom(InputStream) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
parseFrom(ByteString) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
parseFrom(byte[]) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
parseFrom(InputStream) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
parseFrom(ByteString) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
parseFrom(byte[]) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
parseFrom(InputStream) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
parseFrom(ByteString) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
parseFrom(byte[]) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
parseFrom(InputStream) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
parseFrom(ByteString) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
parseFrom(byte[]) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
parseFrom(InputStream) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.DevicePropertiesProtos.DeviceProperties
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.DevicePropertiesProtos.DeviceProperties
parseFrom(ByteString) - 类中的静态方法tensorflow.DevicePropertiesProtos.DeviceProperties
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.DevicePropertiesProtos.DeviceProperties
parseFrom(byte[]) - 类中的静态方法tensorflow.DevicePropertiesProtos.DeviceProperties
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.DevicePropertiesProtos.DeviceProperties
parseFrom(InputStream) - 类中的静态方法tensorflow.DevicePropertiesProtos.DeviceProperties
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.DevicePropertiesProtos.DeviceProperties
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.DevicePropertiesProtos.DeviceProperties
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.DevicePropertiesProtos.DeviceProperties
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.DevicePropertiesProtos.NamedDevice
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.DevicePropertiesProtos.NamedDevice
parseFrom(ByteString) - 类中的静态方法tensorflow.DevicePropertiesProtos.NamedDevice
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.DevicePropertiesProtos.NamedDevice
parseFrom(byte[]) - 类中的静态方法tensorflow.DevicePropertiesProtos.NamedDevice
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.DevicePropertiesProtos.NamedDevice
parseFrom(InputStream) - 类中的静态方法tensorflow.DevicePropertiesProtos.NamedDevice
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.DevicePropertiesProtos.NamedDevice
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.DevicePropertiesProtos.NamedDevice
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.DevicePropertiesProtos.NamedDevice
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
parseFrom(ByteString) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
parseFrom(byte[]) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
parseFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
parseFrom(ByteString) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
parseFrom(byte[]) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
parseFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
parseFrom(ByteString) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
parseFrom(byte[]) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
parseFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
parseFrom(ByteString) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
parseFrom(byte[]) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
parseFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
parseFrom(ByteString) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
parseFrom(byte[]) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
parseFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
parseFrom(ByteString) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
parseFrom(byte[]) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
parseFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
parseFrom(ByteString) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
parseFrom(byte[]) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
parseFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
parseFrom(ByteString) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
parseFrom(byte[]) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
parseFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.Operation
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.Operation
parseFrom(ByteString) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.Operation
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.Operation
parseFrom(byte[]) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.Operation
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.Operation
parseFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.Operation
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.Operation
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.Operation
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.Operation
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem
parseFrom(ByteString) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem
parseFrom(byte[]) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem
parseFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
parseFrom(ByteString) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
parseFrom(byte[]) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
parseFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
parseFrom(ByteString) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
parseFrom(byte[]) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
parseFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
parseFrom(ByteString) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
parseFrom(byte[]) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
parseFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
parseFrom(ByteString) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
parseFrom(byte[]) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
parseFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
parseFrom(ByteString) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
parseFrom(byte[]) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
parseFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
parseFrom(ByteString) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
parseFrom(byte[]) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
parseFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
parseFrom(ByteString) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
parseFrom(byte[]) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
parseFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
parseFrom(ByteString) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
parseFrom(byte[]) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
parseFrom(InputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.Classification.Class
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.Class
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.Classification.Class
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.Class
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.Classification.Class
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.Class
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.Classification.Class
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.Class
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.Classification.Class
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.Class
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.Classification.ClassificationRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.ClassificationRequest
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.Classification.ClassificationRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.ClassificationRequest
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.Classification.ClassificationRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.ClassificationRequest
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.Classification.ClassificationRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.ClassificationRequest
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.Classification.ClassificationRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.ClassificationRequest
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.Classification.ClassificationResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.ClassificationResponse
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.Classification.ClassificationResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.ClassificationResponse
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.Classification.ClassificationResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.ClassificationResponse
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.Classification.ClassificationResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.ClassificationResponse
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.Classification.ClassificationResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.ClassificationResponse
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.Classification.ClassificationResult
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.ClassificationResult
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.Classification.ClassificationResult
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.ClassificationResult
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.Classification.ClassificationResult
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.ClassificationResult
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.Classification.ClassificationResult
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.ClassificationResult
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.Classification.ClassificationResult
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.ClassificationResult
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.Classification.Classifications
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.Classifications
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.Classification.Classifications
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.Classifications
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.Classification.Classifications
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.Classifications
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.Classification.Classifications
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.Classifications
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.Classification.Classifications
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification.Classifications
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.GetModelMetadata.SignatureDefMap
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelMetadata.SignatureDefMap
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.GetModelMetadata.SignatureDefMap
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelMetadata.SignatureDefMap
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.GetModelMetadata.SignatureDefMap
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelMetadata.SignatureDefMap
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.GetModelMetadata.SignatureDefMap
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelMetadata.SignatureDefMap
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.GetModelMetadata.SignatureDefMap
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelMetadata.SignatureDefMap
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.Inference.InferenceResult
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.InferenceResult
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.Inference.InferenceResult
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.InferenceResult
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.Inference.InferenceResult
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.InferenceResult
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.Inference.InferenceResult
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.InferenceResult
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.Inference.InferenceResult
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.InferenceResult
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.Inference.InferenceTask
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.InferenceTask
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.Inference.InferenceTask
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.InferenceTask
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.Inference.InferenceTask
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.InferenceTask
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.Inference.InferenceTask
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.InferenceTask
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.Inference.InferenceTask
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.InferenceTask
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceRequest
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceRequest
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceRequest
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceRequest
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceRequest
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceResponse
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceResponse
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceResponse
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceResponse
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference.MultiInferenceResponse
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleList
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleList
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleList
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleList
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleList
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleList
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleList
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleList
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleList
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleList
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleListWithContext
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleListWithContext
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleListWithContext
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleListWithContext
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleListWithContext
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleListWithContext
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleListWithContext
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleListWithContext
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleListWithContext
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleListWithContext
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.InputOuterClass.Input
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.InputOuterClass.Input
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.InputOuterClass.Input
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.InputOuterClass.Input
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.InputOuterClass.Input
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.InputOuterClass.Input
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.InputOuterClass.Input
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.InputOuterClass.Input
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.InputOuterClass.Input
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.InputOuterClass.Input
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.Logging.LogMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Logging.LogMetadata
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.Logging.LogMetadata
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Logging.LogMetadata
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.Logging.LogMetadata
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Logging.LogMetadata
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.Logging.LogMetadata
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Logging.LogMetadata
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.Logging.LogMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Logging.LogMetadata
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.Model.ModelSpec
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Model.ModelSpec
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.Model.ModelSpec
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Model.ModelSpec
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.Model.ModelSpec
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Model.ModelSpec
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.Model.ModelSpec
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Model.ModelSpec
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.Model.ModelSpec
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Model.ModelSpec
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigRequest
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigRequest
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigRequest
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigRequest
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigRequest
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigResponse
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigResponse
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigResponse
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigResponse
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigResponse
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.Predict.PredictRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Predict.PredictRequest
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.Predict.PredictRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Predict.PredictRequest
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.Predict.PredictRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Predict.PredictRequest
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.Predict.PredictRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Predict.PredictRequest
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.Predict.PredictRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Predict.PredictRequest
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.Predict.PredictResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Predict.PredictResponse
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.Predict.PredictResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Predict.PredictResponse
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.Predict.PredictResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Predict.PredictResponse
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.Predict.PredictResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Predict.PredictResponse
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.Predict.PredictResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Predict.PredictResponse
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictLog
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictLog
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictLog
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictLog
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictLog
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictLog
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictLog
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictLog
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictLog
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictLog
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.RegressLog
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.RegressLog
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.RegressLog
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.RegressLog
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.RegressLog
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.RegressLog
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.RegressLog
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.RegressLog
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.RegressLog
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.RegressLog
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.RegressionOuterClass.Regression
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.Regression
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.RegressionOuterClass.Regression
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.Regression
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.RegressionOuterClass.Regression
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.Regression
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.RegressionOuterClass.Regression
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.Regression
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.RegressionOuterClass.Regression
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.Regression
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionRequest
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionRequest
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionRequest
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionRequest
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionRequest
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResponse
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResponse
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResponse
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResponse
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResponse
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResult
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResult
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResult
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResult
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResult
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResult
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResult
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResult
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResult
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResult
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.SslConfig.SSLConfig
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.SslConfig.SSLConfig
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.SslConfig.SSLConfig
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.SslConfig.SSLConfig
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.SslConfig.SSLConfig
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.SslConfig.SSLConfig
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.SslConfig.SSLConfig
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.SslConfig.SSLConfig
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.SslConfig.SSLConfig
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.SslConfig.SSLConfig
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.serving.Status.StatusProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Status.StatusProto
parseFrom(ByteString) - 类中的静态方法tensorflow.serving.Status.StatusProto
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Status.StatusProto
parseFrom(byte[]) - 类中的静态方法tensorflow.serving.Status.StatusProto
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Status.StatusProto
parseFrom(InputStream) - 类中的静态方法tensorflow.serving.Status.StatusProto
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Status.StatusProto
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.serving.Status.StatusProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Status.StatusProto
parseFrom(ByteBuffer) - 类中的静态方法tensorflow.TransportOptions.RecvBufRespExtra
parseFrom(ByteBuffer, ExtensionRegistryLite) - 类中的静态方法tensorflow.TransportOptions.RecvBufRespExtra
parseFrom(ByteString) - 类中的静态方法tensorflow.TransportOptions.RecvBufRespExtra
parseFrom(ByteString, ExtensionRegistryLite) - 类中的静态方法tensorflow.TransportOptions.RecvBufRespExtra
parseFrom(byte[]) - 类中的静态方法tensorflow.TransportOptions.RecvBufRespExtra
parseFrom(byte[], ExtensionRegistryLite) - 类中的静态方法tensorflow.TransportOptions.RecvBufRespExtra
parseFrom(InputStream) - 类中的静态方法tensorflow.TransportOptions.RecvBufRespExtra
parseFrom(InputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.TransportOptions.RecvBufRespExtra
parseFrom(CodedInputStream) - 类中的静态方法tensorflow.TransportOptions.RecvBufRespExtra
parseFrom(CodedInputStream, ExtensionRegistryLite) - 类中的静态方法tensorflow.TransportOptions.RecvBufRespExtra
parser() - 类中的静态方法org.tensorflow.distruntime.CleanupAllRequest
parser() - 类中的静态方法org.tensorflow.distruntime.CleanupAllResponse
parser() - 类中的静态方法org.tensorflow.distruntime.CleanupGraphRequest
parser() - 类中的静态方法org.tensorflow.distruntime.CleanupGraphResponse
parser() - 类中的静态方法org.tensorflow.distruntime.CloseSessionRequest
parser() - 类中的静态方法org.tensorflow.distruntime.CloseSessionResponse
parser() - 类中的静态方法org.tensorflow.distruntime.ClusterDef
parser() - 类中的静态方法org.tensorflow.distruntime.CompleteGroupRequest
parser() - 类中的静态方法org.tensorflow.distruntime.CompleteGroupResponse
parser() - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceRequest
parser() - 类中的静态方法org.tensorflow.distruntime.CompleteInstanceResponse
parser() - 类中的静态方法org.tensorflow.distruntime.CreateSessionRequest
parser() - 类中的静态方法org.tensorflow.distruntime.CreateSessionResponse
parser() - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionRequest
parser() - 类中的静态方法org.tensorflow.distruntime.CreateWorkerSessionResponse
parser() - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
parser() - 类中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
parser() - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphRequest
parser() - 类中的静态方法org.tensorflow.distruntime.DeregisterGraphResponse
parser() - 类中的静态方法org.tensorflow.distruntime.ExecutorOpts
parser() - 类中的静态方法org.tensorflow.distruntime.ExtendSessionRequest
parser() - 类中的静态方法org.tensorflow.distruntime.ExtendSessionResponse
parser() - 类中的静态方法org.tensorflow.distruntime.GetStatusRequest
parser() - 类中的静态方法org.tensorflow.distruntime.GetStatusResponse
parser() - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceRequest
parser() - 类中的静态方法org.tensorflow.distruntime.GetStepSequenceResponse
parser() - 类中的静态方法org.tensorflow.distruntime.JobDef
parser() - 类中的静态方法org.tensorflow.distruntime.LabeledStepStats
parser() - 类中的静态方法org.tensorflow.distruntime.ListDevicesRequest
parser() - 类中的静态方法org.tensorflow.distruntime.ListDevicesResponse
parser() - 类中的静态方法org.tensorflow.distruntime.LoggingRequest
parser() - 类中的静态方法org.tensorflow.distruntime.LoggingResponse
parser() - 类中的静态方法org.tensorflow.distruntime.MakeCallableRequest
parser() - 类中的静态方法org.tensorflow.distruntime.MakeCallableResponse
parser() - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupRequest
parser() - 类中的静态方法org.tensorflow.distruntime.PartialRunSetupResponse
parser() - 类中的静态方法org.tensorflow.distruntime.RecvBufRequest
parser() - 类中的静态方法org.tensorflow.distruntime.RecvBufResponse
parser() - 类中的静态方法org.tensorflow.distruntime.RecvTensorRequest
parser() - 类中的静态方法org.tensorflow.distruntime.RecvTensorResponse
parser() - 类中的静态方法org.tensorflow.distruntime.RegisterGraphRequest
parser() - 类中的静态方法org.tensorflow.distruntime.RegisterGraphResponse
parser() - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableRequest
parser() - 类中的静态方法org.tensorflow.distruntime.ReleaseCallableResponse
parser() - 类中的静态方法org.tensorflow.distruntime.ResetRequest
parser() - 类中的静态方法org.tensorflow.distruntime.ResetResponse
parser() - 类中的静态方法org.tensorflow.distruntime.RunCallableRequest
parser() - 类中的静态方法org.tensorflow.distruntime.RunCallableResponse
parser() - 类中的静态方法org.tensorflow.distruntime.RunGraphRequest
parser() - 类中的静态方法org.tensorflow.distruntime.RunGraphResponse
parser() - 类中的静态方法org.tensorflow.distruntime.RunStepRequest
parser() - 类中的静态方法org.tensorflow.distruntime.RunStepResponse
parser() - 类中的静态方法org.tensorflow.distruntime.ServerDef
parser() - 类中的静态方法org.tensorflow.distruntime.StepSequence
parser() - 类中的静态方法org.tensorflow.distruntime.TraceOpts
parser() - 类中的静态方法org.tensorflow.distruntime.TracingRequest
parser() - 类中的静态方法org.tensorflow.distruntime.TracingResponse
parser() - 类中的静态方法org.tensorflow.example.BytesList
parser() - 类中的静态方法org.tensorflow.example.Example
parser() - 类中的静态方法org.tensorflow.example.ExampleParserConfiguration
parser() - 类中的静态方法org.tensorflow.example.Feature
parser() - 类中的静态方法org.tensorflow.example.FeatureConfiguration
parser() - 类中的静态方法org.tensorflow.example.FeatureList
parser() - 类中的静态方法org.tensorflow.example.FeatureLists
parser() - 类中的静态方法org.tensorflow.example.Features
parser() - 类中的静态方法org.tensorflow.example.FixedLenFeatureProto
parser() - 类中的静态方法org.tensorflow.example.FloatList
parser() - 类中的静态方法org.tensorflow.example.Int64List
parser() - 类中的静态方法org.tensorflow.example.SequenceExample
parser() - 类中的静态方法org.tensorflow.example.VarLenFeatureProto
parser() - 类中的静态方法org.tensorflow.framework.AllocationDescription
parser() - 类中的静态方法org.tensorflow.framework.AllocationRecord
parser() - 类中的静态方法org.tensorflow.framework.AllocatorMemoryUsed
parser() - 类中的静态方法org.tensorflow.framework.ApiDef.Arg
parser() - 类中的静态方法org.tensorflow.framework.ApiDef.Attr
parser() - 类中的静态方法org.tensorflow.framework.ApiDef.Endpoint
parser() - 类中的静态方法org.tensorflow.framework.ApiDef
parser() - 类中的静态方法org.tensorflow.framework.ApiDefs
parser() - 类中的静态方法org.tensorflow.framework.AssetFileDef
parser() - 类中的静态方法org.tensorflow.framework.AttrValue.ListValue
parser() - 类中的静态方法org.tensorflow.framework.AttrValue
parser() - 类中的静态方法org.tensorflow.framework.AutoParallelOptions
parser() - 类中的静态方法org.tensorflow.framework.CallableOptions
parser() - 类中的静态方法org.tensorflow.framework.CollectionDef.AnyList
parser() - 类中的静态方法org.tensorflow.framework.CollectionDef.BytesList
parser() - 类中的静态方法org.tensorflow.framework.CollectionDef.FloatList
parser() - 类中的静态方法org.tensorflow.framework.CollectionDef.Int64List
parser() - 类中的静态方法org.tensorflow.framework.CollectionDef.NodeList
parser() - 类中的静态方法org.tensorflow.framework.CollectionDef
parser() - 类中的静态方法org.tensorflow.framework.CondContextDef
parser() - 类中的静态方法org.tensorflow.framework.ConfigProto.Experimental
parser() - 类中的静态方法org.tensorflow.framework.ConfigProto
parser() - 类中的静态方法org.tensorflow.framework.ControlFlowContextDef
parser() - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
parser() - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
parser() - 类中的静态方法org.tensorflow.framework.CostGraphDef.Node
parser() - 类中的静态方法org.tensorflow.framework.CostGraphDef
parser() - 类中的静态方法org.tensorflow.framework.CriticalSectionDef
parser() - 类中的静态方法org.tensorflow.framework.CriticalSectionExecutionDef
parser() - 类中的静态方法org.tensorflow.framework.DebuggedSourceFile
parser() - 类中的静态方法org.tensorflow.framework.DebuggedSourceFiles
parser() - 类中的静态方法org.tensorflow.framework.DebugOptions
parser() - 类中的静态方法org.tensorflow.framework.DebugTensorWatch
parser() - 类中的静态方法org.tensorflow.framework.DeviceAttributes
parser() - 类中的静态方法org.tensorflow.framework.DeviceLocality
parser() - 类中的静态方法org.tensorflow.framework.DeviceStepStats
parser() - 类中的静态方法org.tensorflow.framework.FunctionDef
parser() - 类中的静态方法org.tensorflow.framework.FunctionDefLibrary
parser() - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental
parser() - 类中的静态方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
parser() - 类中的静态方法org.tensorflow.framework.GPUOptions
parser() - 类中的静态方法org.tensorflow.framework.GradientDef
parser() - 类中的静态方法org.tensorflow.framework.GraphDef
parser() - 类中的静态方法org.tensorflow.framework.GraphOptions
parser() - 类中的静态方法org.tensorflow.framework.GraphTransferConstNodeInfo
parser() - 类中的静态方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
parser() - 类中的静态方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
parser() - 类中的静态方法org.tensorflow.framework.GraphTransferInfo
parser() - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInfo
parser() - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInput
parser() - 类中的静态方法org.tensorflow.framework.GraphTransferNodeInputInfo
parser() - 类中的静态方法org.tensorflow.framework.GraphTransferNodeOutputInfo
parser() - 类中的静态方法org.tensorflow.framework.HistogramProto
parser() - 类中的静态方法org.tensorflow.framework.InterconnectLink
parser() - 类中的静态方法org.tensorflow.framework.KernelDef.AttrConstraint
parser() - 类中的静态方法org.tensorflow.framework.KernelDef
parser() - 类中的静态方法org.tensorflow.framework.KernelList
parser() - 类中的静态方法org.tensorflow.framework.LocalLinks
parser() - 类中的静态方法org.tensorflow.framework.MemoryLogRawAllocation
parser() - 类中的静态方法org.tensorflow.framework.MemoryLogRawDeallocation
parser() - 类中的静态方法org.tensorflow.framework.MemoryLogStep
parser() - 类中的静态方法org.tensorflow.framework.MemoryLogTensorAllocation
parser() - 类中的静态方法org.tensorflow.framework.MemoryLogTensorDeallocation
parser() - 类中的静态方法org.tensorflow.framework.MemoryLogTensorOutput
parser() - 类中的静态方法org.tensorflow.framework.MemoryStats
parser() - 类中的静态方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
parser() - 类中的静态方法org.tensorflow.framework.MetaGraphDef
parser() - 类中的静态方法org.tensorflow.framework.NameAttrList
parser() - 类中的静态方法org.tensorflow.framework.NamedTensorProto
parser() - 类中的静态方法org.tensorflow.framework.NodeDef
parser() - 类中的静态方法org.tensorflow.framework.NodeExecStats
parser() - 类中的静态方法org.tensorflow.framework.NodeOutput
parser() - 类中的静态方法org.tensorflow.framework.OpDef.ArgDef
parser() - 类中的静态方法org.tensorflow.framework.OpDef.AttrDef
parser() - 类中的静态方法org.tensorflow.framework.OpDef
parser() - 类中的静态方法org.tensorflow.framework.OpDeprecation
parser() - 类中的静态方法org.tensorflow.framework.OpList
parser() - 类中的静态方法org.tensorflow.framework.OptimizerOptions
parser() - 类中的静态方法org.tensorflow.framework.QueueRunnerDef
parser() - 类中的静态方法org.tensorflow.framework.ReaderBaseState
parser() - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
parser() - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
parser() - 类中的静态方法org.tensorflow.framework.ResourceHandleProto
parser() - 类中的静态方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
parser() - 类中的静态方法org.tensorflow.framework.RewriterConfig
parser() - 类中的静态方法org.tensorflow.framework.RPCOptions
parser() - 类中的静态方法org.tensorflow.framework.RunMetadata
parser() - 类中的静态方法org.tensorflow.framework.RunOptions.Experimental
parser() - 类中的静态方法org.tensorflow.framework.RunOptions
parser() - 类中的静态方法org.tensorflow.framework.SavedModel
parser() - 类中的静态方法org.tensorflow.framework.SaveSliceInfoDef
parser() - 类中的静态方法org.tensorflow.framework.ScopedAllocatorOptions
parser() - 类中的静态方法org.tensorflow.framework.SignatureDef
parser() - 类中的静态方法org.tensorflow.framework.StepStats
parser() - 类中的静态方法org.tensorflow.framework.Summary.Audio
parser() - 类中的静态方法org.tensorflow.framework.Summary.Image
parser() - 类中的静态方法org.tensorflow.framework.Summary
parser() - 类中的静态方法org.tensorflow.framework.Summary.Value
parser() - 类中的静态方法org.tensorflow.framework.SummaryDescription
parser() - 类中的静态方法org.tensorflow.framework.SummaryMetadata
parser() - 类中的静态方法org.tensorflow.framework.SummaryMetadata.PluginData
parser() - 类中的静态方法org.tensorflow.framework.TensorConnection
parser() - 类中的静态方法org.tensorflow.framework.TensorDescription
parser() - 类中的静态方法org.tensorflow.framework.TensorInfo.CooSparse
parser() - 类中的静态方法org.tensorflow.framework.TensorInfo
parser() - 类中的静态方法org.tensorflow.framework.TensorProto
parser() - 类中的静态方法org.tensorflow.framework.TensorShapeProto.Dim
parser() - 类中的静态方法org.tensorflow.framework.TensorShapeProto
parser() - 类中的静态方法org.tensorflow.framework.TensorSliceProto.Extent
parser() - 类中的静态方法org.tensorflow.framework.TensorSliceProto
parser() - 类中的静态方法org.tensorflow.framework.ThreadPoolOptionProto
parser() - 类中的静态方法org.tensorflow.framework.ValuesDef
parser() - 类中的静态方法org.tensorflow.framework.VariableDef
parser() - 类中的静态方法org.tensorflow.framework.VariantTensorDataProto
parser() - 类中的静态方法org.tensorflow.framework.VersionDef
parser() - 类中的静态方法org.tensorflow.framework.WhileContextDef
parser() - 类中的静态方法org.tensorflow.util.BundleEntryProto
parser() - 类中的静态方法org.tensorflow.util.BundleHeaderProto
parser() - 类中的静态方法org.tensorflow.util.IteratorStateMetadata
parser() - 类中的静态方法org.tensorflow.util.SaverDef
parser() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
parser() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
parser() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
parser() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
parser() - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
parser() - 类中的静态方法tensorflow.DevicePropertiesProtos.DeviceProperties
parser() - 类中的静态方法tensorflow.DevicePropertiesProtos.NamedDevice
parser() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
parser() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
parser() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
parser() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
parser() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
parser() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
parser() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
parser() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
parser() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.Operation
parser() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem
parser() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
parser() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
parser() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
parser() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
parser() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
parser() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
parser() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
parser() - 类中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
parser() - 类中的静态方法tensorflow.serving.Classification.Class
parser() - 类中的静态方法tensorflow.serving.Classification.ClassificationRequest
parser() - 类中的静态方法tensorflow.serving.Classification.ClassificationResponse
parser() - 类中的静态方法tensorflow.serving.Classification.ClassificationResult
parser() - 类中的静态方法tensorflow.serving.Classification.Classifications
parser() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
parser() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
parser() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
parser() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
parser() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
parser() - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
parser() - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
parser() - 类中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
parser() - 类中的静态方法tensorflow.serving.GetModelMetadata.SignatureDefMap
parser() - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
parser() - 类中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
parser() - 类中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus
parser() - 类中的静态方法tensorflow.serving.Inference.InferenceResult
parser() - 类中的静态方法tensorflow.serving.Inference.InferenceTask
parser() - 类中的静态方法tensorflow.serving.Inference.MultiInferenceRequest
parser() - 类中的静态方法tensorflow.serving.Inference.MultiInferenceResponse
parser() - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleList
parser() - 类中的静态方法tensorflow.serving.InputOuterClass.ExampleListWithContext
parser() - 类中的静态方法tensorflow.serving.InputOuterClass.Input
parser() - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
parser() - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
parser() - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
parser() - 类中的静态方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
parser() - 类中的静态方法tensorflow.serving.Logging.LogMetadata
parser() - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
parser() - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
parser() - 类中的静态方法tensorflow.serving.Model.ModelSpec
parser() - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigRequest
parser() - 类中的静态方法tensorflow.serving.ModelManagement.ReloadConfigResponse
parser() - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
parser() - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
parser() - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
parser() - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
parser() - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
parser() - 类中的静态方法tensorflow.serving.Predict.PredictRequest
parser() - 类中的静态方法tensorflow.serving.Predict.PredictResponse
parser() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
parser() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
parser() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
parser() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictLog
parser() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.RegressLog
parser() - 类中的静态方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
parser() - 类中的静态方法tensorflow.serving.RegressionOuterClass.Regression
parser() - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionRequest
parser() - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResponse
parser() - 类中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResult
parser() - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
parser() - 类中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
parser() - 类中的静态方法tensorflow.serving.SslConfig.SSLConfig
parser() - 类中的静态方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
parser() - 类中的静态方法tensorflow.serving.Status.StatusProto
parser() - 类中的静态方法tensorflow.TransportOptions.RecvBufRespExtra
PARTIAL_RUN_HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.PartialRunSetupResponse
PARTIAL_RUN_HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunStepRequest
partialRunSetup(PartialRunSetupRequest) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceBlockingStub: Prepares future partial run calls.
partialRunSetup(PartialRunSetupRequest) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceFutureStub: Prepares future partial run calls.
partialRunSetup(PartialRunSetupRequest, StreamObserver<PartialRunSetupResponse>) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceImplBase: Prepares future partial run calls.
partialRunSetup(PartialRunSetupRequest, StreamObserver<PartialRunSetupResponse>) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceStub: Prepares future partial run calls.
PartialRunSetupRequest - org.tensorflow.distruntime中的类: Protobuf type tensorflow.PartialRunSetupRequest
PartialRunSetupRequest.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.PartialRunSetupRequest
PartialRunSetupRequestOrBuilder - org.tensorflow.distruntime中的接口
PartialRunSetupResponse - org.tensorflow.distruntime中的类: Protobuf type tensorflow.PartialRunSetupResponse
PartialRunSetupResponse.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.PartialRunSetupResponse
PartialRunSetupResponseOrBuilder - org.tensorflow.distruntime中的接口
PARTITION_GRAPH_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunGraphResponse
PARTITION_GRAPHS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RunMetadata
PEAK_BYTES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AllocatorMemoryUsed
PER_PROCESS_GPU_MEMORY_FRACTION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GPUOptions
PERMISSION_DENIED_VALUE - 枚举中的静态变量org.tensorflow.framework.Code: The caller does not have permission to execute the specified operation.
PERSISTENT_MEMORY_SIZE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef.Node
PERSISTENT_MEMORY_SIZE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryStats
PERSISTENT_TENSOR_ALLOC_IDS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryStats
PHYSICAL_DEVICE_DESC_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DeviceAttributes
PIVOT_FOR_BODY_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.WhileContextDef
PIVOT_FOR_PRED_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.WhileContextDef
PIVOT_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CondContextDef
PIVOT_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.WhileContextDef
PLACE_PRUNED_GRAPH_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphOptions
PLACEHOLDER_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AttrValue
PLACEMENT_PERIOD_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ConfigProto
PLATFORM_CONFIGS_FIELD_NUMBER - 类中的静态变量tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
PlatformConfigOuterClass - tensorflow.serving中的类
PlatformConfigOuterClass.PlatformConfig - tensorflow.serving中的类: Configuration for a servable platform e.g. tensorflow or other ML systems.
PlatformConfigOuterClass.PlatformConfig.Builder - tensorflow.serving中的类: Configuration for a servable platform e.g. tensorflow or other ML systems.
PlatformConfigOuterClass.PlatformConfigMap - tensorflow.serving中的类: Protobuf type tensorflow.serving.PlatformConfigMap
PlatformConfigOuterClass.PlatformConfigMap.Builder - tensorflow.serving中的类: Protobuf type tensorflow.serving.PlatformConfigMap
PlatformConfigOuterClass.PlatformConfigMapOrBuilder - tensorflow.serving中的接口
PlatformConfigOuterClass.PlatformConfigOrBuilder - tensorflow.serving中的接口
PLUGIN_DATA_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.SummaryMetadata
PLUGIN_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.SummaryMetadata.PluginData
POLLING_ACTIVE_DELAY_USECS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GPUOptions
POLLING_INACTIVE_DELAY_MSECS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GPUOptions
PRECEDING_NODE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef.Node.InputInfo
PRECEDING_PORT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef.Node.InputInfo
PRED_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CondContextDef
Predict - tensorflow.serving中的类
predict(Predict.PredictRequest) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceBlockingStub: Predict -- provides access to loaded TensorFlow model.
predict(Predict.PredictRequest) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceFutureStub: Predict -- provides access to loaded TensorFlow model.
predict(Predict.PredictRequest, StreamObserver<Predict.PredictResponse>) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceImplBase: Predict -- provides access to loaded TensorFlow model.
predict(Predict.PredictRequest, StreamObserver<Predict.PredictResponse>) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceStub: Predict -- provides access to loaded TensorFlow model.
Predict.PredictRequest - tensorflow.serving中的类: PredictRequest specifies which TensorFlow model to run, as well as how inputs are mapped to tensors and how outputs are filtered before returning to user.
Predict.PredictRequest.Builder - tensorflow.serving中的类: PredictRequest specifies which TensorFlow model to run, as well as how inputs are mapped to tensors and how outputs are filtered before returning to user.
Predict.PredictRequestOrBuilder - tensorflow.serving中的接口
Predict.PredictResponse - tensorflow.serving中的类: Response for PredictRequest on successful run.
Predict.PredictResponse.Builder - tensorflow.serving中的类: Response for PredictRequest on successful run.
Predict.PredictResponseOrBuilder - tensorflow.serving中的接口
PREDICT_LOG_FIELD_NUMBER - 类中的静态变量tensorflow.serving.PredictionLogOuterClass.PredictionLog
PredictionLogOuterClass - tensorflow.serving中的类
PredictionLogOuterClass.ClassifyLog - tensorflow.serving中的类: Protobuf type tensorflow.serving.ClassifyLog
PredictionLogOuterClass.ClassifyLog.Builder - tensorflow.serving中的类: Protobuf type tensorflow.serving.ClassifyLog
PredictionLogOuterClass.ClassifyLogOrBuilder - tensorflow.serving中的接口
PredictionLogOuterClass.MultiInferenceLog - tensorflow.serving中的类: Protobuf type tensorflow.serving.MultiInferenceLog
PredictionLogOuterClass.MultiInferenceLog.Builder - tensorflow.serving中的类: Protobuf type tensorflow.serving.MultiInferenceLog
PredictionLogOuterClass.MultiInferenceLogOrBuilder - tensorflow.serving中的接口
PredictionLogOuterClass.PredictionLog - tensorflow.serving中的类: Logged model inference request.
PredictionLogOuterClass.PredictionLog.Builder - tensorflow.serving中的类: Logged model inference request.
PredictionLogOuterClass.PredictionLog.LogTypeCase - tensorflow.serving中的枚举
PredictionLogOuterClass.PredictionLogOrBuilder - tensorflow.serving中的接口
PredictionLogOuterClass.PredictLog - tensorflow.serving中的类: Protobuf type tensorflow.serving.PredictLog
PredictionLogOuterClass.PredictLog.Builder - tensorflow.serving中的类: Protobuf type tensorflow.serving.PredictLog
PredictionLogOuterClass.PredictLogOrBuilder - tensorflow.serving中的接口
PredictionLogOuterClass.RegressLog - tensorflow.serving中的类: Protobuf type tensorflow.serving.RegressLog
PredictionLogOuterClass.RegressLog.Builder - tensorflow.serving中的类: Protobuf type tensorflow.serving.RegressLog
PredictionLogOuterClass.RegressLogOrBuilder - tensorflow.serving中的接口
PredictionLogOuterClass.SessionRunLog - tensorflow.serving中的类: Protobuf type tensorflow.serving.SessionRunLog
PredictionLogOuterClass.SessionRunLog.Builder - tensorflow.serving中的类: Protobuf type tensorflow.serving.SessionRunLog
PredictionLogOuterClass.SessionRunLogOrBuilder - tensorflow.serving中的接口
PredictionServiceGrpc - tensorflow.serving中的类: open source marker; do not remove PredictionService provides access to machine-learned models loaded by model_servers.
PredictionServiceGrpc.PredictionServiceBlockingStub - tensorflow.serving中的类: open source marker; do not remove PredictionService provides access to machine-learned models loaded by model_servers.
PredictionServiceGrpc.PredictionServiceFutureStub - tensorflow.serving中的类: open source marker; do not remove PredictionService provides access to machine-learned models loaded by model_servers.
PredictionServiceGrpc.PredictionServiceImplBase - tensorflow.serving中的类: open source marker; do not remove PredictionService provides access to machine-learned models loaded by model_servers.
PredictionServiceGrpc.PredictionServiceStub - tensorflow.serving中的类: open source marker; do not remove PredictionService provides access to machine-learned models loaded by model_servers.
PredictionServiceImplBase() - 类的构造器tensorflow.serving.PredictionServiceGrpc.PredictionServiceImplBase
PredictionServiceOuterClass - tensorflow.serving中的类
PRODUCER_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.VersionDef
PROPERTIES_FIELD_NUMBER - 类中的静态变量tensorflow.DevicePropertiesProtos.NamedDevice
PROTOCOL_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.ServerDef
PTR_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AllocationDescription
PTR_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryLogRawAllocation
putAllAttr(Map<String, AttrValue>) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: Attributes specific to this function definition.
putAllAttr(Map<String, AttrValue>) - 类中的方法org.tensorflow.framework.NameAttrList.Builder: map<string, .tensorflow.AttrValue> attr = 2;
putAllAttr(Map<String, AttrValue>) - 类中的方法org.tensorflow.framework.NodeDef.Builder: Operation-specific graph-construction-time configuration.
putAllAttrs(Map<String, AttrValue>) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: map<string, .tensorflow.AttrValue> attrs = 5;
putAllCollectionDef(Map<String, CollectionDef>) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: collection_def: Map from collection name to collections.
putAllDeviceCount(Map<String, Integer>) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
putAllEnvironment(Map<String, String>) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1) map<string, string> environment = 6;
putAllExternalValues(Map<String, String>) - 类中的方法org.tensorflow.framework.ValuesDef.Builder: Value names referenced by but external to this context.
putAllFeature(Map<String, Feature>) - 类中的方法org.tensorflow.example.Features.Builder: Map from feature name to feature.
putAllFeatureList(Map<String, FeatureList>) - 类中的方法org.tensorflow.example.FeatureLists.Builder: Map from feature name to feature list.
putAllFeatureMap(Map<String, FeatureConfiguration>) - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
putAllFeedDevices(Map<String, String>) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
putAllFetchDevices(Map<String, String>) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: map<string, string> fetch_devices = 7;
putAllInputs(Map<String, TensorInfo>) - 类中的方法org.tensorflow.framework.SignatureDef.Builder: Named input parameters.
putAllInputs(Map<String, TensorProto>) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Input tensors.
putAllMetadata(Map<String, Any>) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder: Map of metadata field name to metadata field.
putAllOutputs(Map<String, TensorInfo>) - 类中的方法org.tensorflow.framework.SignatureDef.Builder: Named output parameters.
putAllOutputs(Map<String, TensorProto>) - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder: Output tensors.
putAllParameterMap(Map<String, AttrValue>) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder: map<string, .tensorflow.AttrValue> parameter_map = 2;
putAllPlatformConfigs(Map<String, PlatformConfigOuterClass.PlatformConfig>) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder: A map from a platform name to a platform config.
putAllRet(Map<String, String>) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
putAllSignatureDef(Map<String, SignatureDef>) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
putAllSignatureDef(Map<String, SignatureDef>) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder: map<string, .tensorflow.SignatureDef> signature_def = 1;
putAllTasks(Map<Integer, String>) - 类中的方法org.tensorflow.distruntime.JobDef.Builder: Mapping from task ID to "hostname:port" string.
putAttr(String, AttrValue) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: Attributes specific to this function definition.
putAttr(String, AttrValue) - 类中的方法org.tensorflow.framework.NameAttrList.Builder: map<string, .tensorflow.AttrValue> attr = 2;
putAttr(String, AttrValue) - 类中的方法org.tensorflow.framework.NodeDef.Builder: Operation-specific graph-construction-time configuration.
putAttrs(String, AttrValue) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: map<string, .tensorflow.AttrValue> attrs = 5;
putCollectionDef(String, CollectionDef) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: collection_def: Map from collection name to collections.
putDeviceCount(String, int) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
putEnvironment(String, String) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1) map<string, string> environment = 6;
putExternalValues(String, String) - 类中的方法org.tensorflow.framework.ValuesDef.Builder: Value names referenced by but external to this context.
putFeature(String, Feature) - 类中的方法org.tensorflow.example.Features.Builder: Map from feature name to feature.
putFeatureList(String, FeatureList) - 类中的方法org.tensorflow.example.FeatureLists.Builder: Map from feature name to feature list.
putFeatureMap(String, FeatureConfiguration) - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
putFeedDevices(String, String) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
putFetchDevices(String, String) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: map<string, string> fetch_devices = 7;
putInputs(String, TensorInfo) - 类中的方法org.tensorflow.framework.SignatureDef.Builder: Named input parameters.
putInputs(String, TensorProto) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Input tensors.
putMetadata(String, Any) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder: Map of metadata field name to metadata field.
putOutputs(String, TensorInfo) - 类中的方法org.tensorflow.framework.SignatureDef.Builder: Named output parameters.
putOutputs(String, TensorProto) - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder: Output tensors.
putParameterMap(String, AttrValue) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder: map<string, .tensorflow.AttrValue> parameter_map = 2;
putPlatformConfigs(String, PlatformConfigOuterClass.PlatformConfig) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder: A map from a platform name to a platform config.
putRet(String, String) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
putSignatureDef(String, SignatureDef) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
putSignatureDef(String, SignatureDef) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder: map<string, .tensorflow.SignatureDef> signature_def = 1;
putTasks(int, String) - 类中的方法org.tensorflow.distruntime.JobDef.Builder: Mapping from task ID to "hostname:port" string.

Q

QUEUE_CLOSED_EXCEPTION_TYPES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.QueueRunnerDef
QUEUE_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
QUEUE_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.QueueRunnerDef
QUEUE_RESPONSE_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
QueueRunnerDef - org.tensorflow.framework中的类: Protocol buffer representing a QueueRunner.
QueueRunnerDef.Builder - org.tensorflow.framework中的类: Protocol buffer representing a QueueRunner.
QueueRunnerDefOrBuilder - org.tensorflow.framework中的接口
QueueRunnerProtos - org.tensorflow.framework中的类

R

ReaderBaseProtos - org.tensorflow.framework中的类
ReaderBaseState - org.tensorflow.framework中的类: For serializing and restoring the state of ReaderBase, see reader_base.h for details.
ReaderBaseState.Builder - org.tensorflow.framework中的类: For serializing and restoring the state of ReaderBase, see reader_base.h for details.
ReaderBaseStateOrBuilder - org.tensorflow.framework中的接口
RECOMPUTATION_HEURISTICS_VALUE - 枚举中的静态变量org.tensorflow.framework.RewriterConfig.MemOptType: Recomputation heuristics will recompute ops (such as Relu activation) during backprop instead of storing them, reducing peak memory usage.
RECORD_COSTS_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.ExecutorOpts
RECORD_PARTITION_GRAPHS_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.ExecutorOpts
RECORD_TIMELINE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.ExecutorOpts
RECV_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunGraphResponse
RECV_KEY_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunGraphRequest
recvBuf(RecvBufRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceBlockingStub: See worker.proto for details.
recvBuf(RecvBufRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceFutureStub: See worker.proto for details.
recvBuf(RecvBufRequest, StreamObserver<RecvBufResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceImplBase: See worker.proto for details.
recvBuf(RecvBufRequest, StreamObserver<RecvBufResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceStub: See worker.proto for details.
RecvBufRequest - org.tensorflow.distruntime中的类: Use of the fields below may vary by implementation.
RecvBufRequest.Builder - org.tensorflow.distruntime中的类: Use of the fields below may vary by implementation.
RecvBufRequestOrBuilder - org.tensorflow.distruntime中的接口
RecvBufResponse - org.tensorflow.distruntime中的类: Use of the fields below may vary by implementation.
RecvBufResponse.Builder - org.tensorflow.distruntime中的类: Use of the fields below may vary by implementation.
RecvBufResponseOrBuilder - org.tensorflow.distruntime中的接口
recvTensor(RecvTensorRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceBlockingStub: See worker.proto for details.
recvTensor(RecvTensorRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceFutureStub: See worker.proto for details.
recvTensor(RecvTensorRequest, StreamObserver<RecvTensorResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceImplBase: See worker.proto for details.
recvTensor(RecvTensorRequest, StreamObserver<RecvTensorResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceStub: See worker.proto for details.
RecvTensorRequest - org.tensorflow.distruntime中的类: Protobuf type tensorflow.RecvTensorRequest
RecvTensorRequest.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.RecvTensorRequest
RecvTensorRequestOrBuilder - org.tensorflow.distruntime中的接口
RecvTensorResponse - org.tensorflow.distruntime中的类: Protobuf type tensorflow.RecvTensorResponse
RecvTensorResponse.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.RecvTensorResponse
RecvTensorResponseOrBuilder - org.tensorflow.distruntime中的接口
REFERENCED_TENSOR_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeExecStats
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ClusterProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.distruntime.ClusterProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.DistributedRuntimeProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.distruntime.DistributedRuntimeProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.MasterServiceProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.distruntime.MasterServiceProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.ServerProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.distruntime.ServerProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.WorkerProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.distruntime.WorkerProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.distruntime.WorkerServiceProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.distruntime.WorkerServiceProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.ExampleParserConfigurationProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.example.ExampleParserConfigurationProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.ExampleProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.example.ExampleProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.example.FeatureProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.example.FeatureProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AllocationDescriptionProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.AllocationDescriptionProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ApiDefProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.ApiDefProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.AttrValueProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.AttrValueProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ConfigProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.ConfigProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ControlFlowProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.ControlFlowProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CostGraphProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.CostGraphProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.CriticalSectionProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.CriticalSectionProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DebugProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.DebugProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.DeviceAttributesProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.DeviceAttributesProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ErrorCodesProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.ErrorCodesProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.FunctionProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.FunctionProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.GraphProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.GraphTransferInfoProto
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.GraphTransferInfoProto
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.KernelDefProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.KernelDefProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.LogMemoryProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.LogMemoryProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.MetaGraphProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.MetaGraphProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NamedTensorProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.NamedTensorProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.NodeProto
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.NodeProto
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.OpDefProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.OpDefProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.QueueRunnerProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.QueueRunnerProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ReaderBaseProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.ReaderBaseProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoProto
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoProto
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.ResourceHandle
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.ResourceHandle
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.RewriterConfigProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.RewriterConfigProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SavedModelProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.SavedModelProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.StepStatsProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.StepStatsProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.SummaryProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.SummaryProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorDescriptionProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.TensorDescriptionProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.TensorProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorShapeProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.TensorShapeProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TensorSliceProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.TensorSliceProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.TypesProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.TypesProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.VariableProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.VariableProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.framework.VersionsProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.framework.VersionsProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.IteratorProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.util.IteratorProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.SaverProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.util.SaverProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法org.tensorflow.util.TensorBundleProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法org.tensorflow.util.TensorBundleProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.CheckpointableObjectGraphOuterClass
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.DevicePropertiesProtos
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.DevicePropertiesProtos
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.eager.EagerServiceOuterClass
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Classification
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.Classification
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.FileSystemStoragePathSource
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelMetadata
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.GetModelMetadata
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.GetModelStatus
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.GetModelStatus
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Inference
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.Inference
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.InputOuterClass
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.InputOuterClass
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.internal.SerializedInputOuterClass
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.LogCollectorConfigOuterClass
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.LogCollectorConfigOuterClass
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Logging
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.Logging
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.LoggingConfigOuterClass
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Model
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.Model
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelManagement
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.ModelManagement
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.ModelServerConfigOuterClass
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.ModelServiceOuterClass
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.ModelServiceOuterClass
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.PlatformConfigOuterClass
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Predict
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.Predict
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.PredictionLogOuterClass
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.PredictionServiceOuterClass
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.PredictionServiceOuterClass
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.RegressionOuterClass
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.RegressionOuterClass
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.SessionServiceOuterClass
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.SslConfig
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.SslConfig
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.StaticStoragePathSource
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.StaticStoragePathSource
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.serving.Status
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.serving.Status
registerAllExtensions(ExtensionRegistryLite) - 类中的静态方法tensorflow.TransportOptions
registerAllExtensions(ExtensionRegistry) - 类中的静态方法tensorflow.TransportOptions
registerFunction(EagerServiceOuterClass.RegisterFunctionRequest) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceBlockingStub: Takes a FunctionDef and makes it enqueable on the remote worker.
registerFunction(EagerServiceOuterClass.RegisterFunctionRequest) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceFutureStub: Takes a FunctionDef and makes it enqueable on the remote worker.
registerFunction(EagerServiceOuterClass.RegisterFunctionRequest, StreamObserver<EagerServiceOuterClass.RegisterFunctionResponse>) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceImplBase: Takes a FunctionDef and makes it enqueable on the remote worker.
registerFunction(EagerServiceOuterClass.RegisterFunctionRequest, StreamObserver<EagerServiceOuterClass.RegisterFunctionResponse>) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceStub: Takes a FunctionDef and makes it enqueable on the remote worker.
registerGraph(RegisterGraphRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceBlockingStub: See worker.proto for details.
registerGraph(RegisterGraphRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceFutureStub: See worker.proto for details.
registerGraph(RegisterGraphRequest, StreamObserver<RegisterGraphResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceImplBase: See worker.proto for details.
registerGraph(RegisterGraphRequest, StreamObserver<RegisterGraphResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceStub: See worker.proto for details.
RegisterGraphRequest - org.tensorflow.distruntime中的类: Protobuf type tensorflow.RegisterGraphRequest
RegisterGraphRequest.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.RegisterGraphRequest
RegisterGraphRequestOrBuilder - org.tensorflow.distruntime中的接口
RegisterGraphResponse - org.tensorflow.distruntime中的类: Protobuf type tensorflow.RegisterGraphResponse
RegisterGraphResponse.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.RegisterGraphResponse
RegisterGraphResponseOrBuilder - org.tensorflow.distruntime中的接口
regress(RegressionOuterClass.RegressionRequest) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceBlockingStub: Regress.
regress(RegressionOuterClass.RegressionRequest) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceFutureStub: Regress.
regress(RegressionOuterClass.RegressionRequest, StreamObserver<RegressionOuterClass.RegressionResponse>) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceImplBase: Regress.
regress(RegressionOuterClass.RegressionRequest, StreamObserver<RegressionOuterClass.RegressionResponse>) - 类中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceStub: Regress.
REGRESS_LOG_FIELD_NUMBER - 类中的静态变量tensorflow.serving.PredictionLogOuterClass.PredictionLog
REGRESSION_RESULT_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Inference.InferenceResult
RegressionOuterClass - tensorflow.serving中的类
RegressionOuterClass.Regression - tensorflow.serving中的类: Regression result for a single item (tensorflow.Example).
RegressionOuterClass.Regression.Builder - tensorflow.serving中的类: Regression result for a single item (tensorflow.Example).
RegressionOuterClass.RegressionOrBuilder - tensorflow.serving中的接口
RegressionOuterClass.RegressionRequest - tensorflow.serving中的类: Protobuf type tensorflow.serving.RegressionRequest
RegressionOuterClass.RegressionRequest.Builder - tensorflow.serving中的类: Protobuf type tensorflow.serving.RegressionRequest
RegressionOuterClass.RegressionRequestOrBuilder - tensorflow.serving中的接口
RegressionOuterClass.RegressionResponse - tensorflow.serving中的类: Protobuf type tensorflow.serving.RegressionResponse
RegressionOuterClass.RegressionResponse.Builder - tensorflow.serving中的类: Protobuf type tensorflow.serving.RegressionResponse
RegressionOuterClass.RegressionResponseOrBuilder - tensorflow.serving中的接口
RegressionOuterClass.RegressionResult - tensorflow.serving中的类: Contains one result per input example, in the same order as the input in RegressionRequest.
RegressionOuterClass.RegressionResult.Builder - tensorflow.serving中的类: Contains one result per input example, in the same order as the input in RegressionRequest.
RegressionOuterClass.RegressionResultOrBuilder - tensorflow.serving中的接口
REGRESSIONS_FIELD_NUMBER - 类中的静态变量tensorflow.serving.RegressionOuterClass.RegressionResult
releaseCallable(ReleaseCallableRequest) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceBlockingStub: Frees resources associated with a callable registered with MakeCallable.
releaseCallable(ReleaseCallableRequest) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceFutureStub: Frees resources associated with a callable registered with MakeCallable.
releaseCallable(ReleaseCallableRequest, StreamObserver<ReleaseCallableResponse>) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceImplBase: Frees resources associated with a callable registered with MakeCallable.
releaseCallable(ReleaseCallableRequest, StreamObserver<ReleaseCallableResponse>) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceStub: Frees resources associated with a callable registered with MakeCallable.
ReleaseCallableRequest - org.tensorflow.distruntime中的类: Protobuf type tensorflow.ReleaseCallableRequest
ReleaseCallableRequest.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.ReleaseCallableRequest
ReleaseCallableRequestOrBuilder - org.tensorflow.distruntime中的接口
ReleaseCallableResponse - org.tensorflow.distruntime中的类: Protobuf type tensorflow.ReleaseCallableResponse
ReleaseCallableResponse.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.ReleaseCallableResponse
ReleaseCallableResponseOrBuilder - org.tensorflow.distruntime中的接口
REMAPPING_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RewriterConfig
REMOTE_DEVICE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.ListDevicesResponse
REMOTE_GRAPH_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RemoteFusedGraphExecuteInfo
RemoteFusedGraphExecuteInfo - org.tensorflow.framework中的类: Protocol buffer representing a handle to a tensorflow resource.
RemoteFusedGraphExecuteInfo.Builder - org.tensorflow.framework中的类: Protocol buffer representing a handle to a tensorflow resource.
RemoteFusedGraphExecuteInfo.TensorShapeTypeProto - org.tensorflow.framework中的类: Protobuf type tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder - org.tensorflow.framework中的接口
RemoteFusedGraphExecuteInfoOrBuilder - org.tensorflow.framework中的接口
RemoteFusedGraphExecuteInfoProto - org.tensorflow.framework中的类
removeAllocationRecords(int) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
removeAssetFileDef(int) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
removeAttr(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
removeAttr(String) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: Attributes specific to this function definition.
removeAttr(String) - 类中的方法org.tensorflow.framework.NameAttrList.Builder: map<string, .tensorflow.AttrValue> attr = 2;
removeAttr(String) - 类中的方法org.tensorflow.framework.NodeDef.Builder: Operation-specific graph-construction-time configuration.
removeAttr(int) - 类中的方法org.tensorflow.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
removeAttributes(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Serialized data specific to this object.
removeAttrs(String) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: map<string, .tensorflow.AttrValue> attrs = 5;
removeChildren(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Objects which this object depends on.
removeClasses(int) - 类中的方法tensorflow.serving.Classification.Classifications.Builder: repeated .tensorflow.serving.Class classes = 1;
removeClassifications(int) - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder: repeated .tensorflow.serving.Classifications classifications = 1;
removeCollectionDef(String) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: collection_def: Map from collection name to collections.
removeConfig(int) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder: repeated .tensorflow.serving.ModelConfig config = 1;
removeConstNodeInfo(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
removeConstraint(int) - 类中的方法org.tensorflow.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
removeCustomOptimizers(int) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
removeDebugTensorWatchOpts(int) - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
removeDefaultGraphInputTensorShape(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
removeDefaultGraphOutputTensorShape(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
removeDeviceAttributes(int) - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
removeDeviceAttributes(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder: List of devices that are locally accessible to the worker.
removeDeviceCount(String) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
removeDevStats(int) - 类中的方法org.tensorflow.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
removeDim(int) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
removeEndpoint(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
removeEnvironment(String) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1) map<string, string> environment = 6;
removeExamples(int) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder: repeated .tensorflow.Example examples = 1;
removeExamples(int) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: repeated .tensorflow.Example examples = 1;
removeExtent(int) - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
removeExternalValues(String) - 类中的方法org.tensorflow.framework.ValuesDef.Builder: Value names referenced by but external to this context.
removeFeature(int) - 类中的方法org.tensorflow.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
removeFeature(String) - 类中的方法org.tensorflow.example.Features.Builder: Map from feature name to feature.
removeFeatureList(String) - 类中的方法org.tensorflow.example.FeatureLists.Builder: Map from feature name to feature list.
removeFeatureMap(String) - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
removeFeed(int) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
removeFeed(int) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Tensors to be fed in the step.
removeFeed(int) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Tensors to be fed in the step.
removeFeedDevices(String) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
removeFetch(int) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
removeFetchDevices(String) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: map<string, string> fetch_devices = 7;
removeFunc(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
removeFunction(int) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
removeGradient(int) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
removeGraphInputNodeInfo(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
removeGraphOutputNodeInfo(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
removeInArg(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
removeInputArg(int) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the input(s).
removeInputInfo(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
removeInputs(String) - 类中的方法org.tensorflow.framework.SignatureDef.Builder: Named input parameters.
removeInputs(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
removeInputs(String) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Input tensors.
removeJob(int) - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
removeKernel(int) - 类中的方法org.tensorflow.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
removeLink(int) - 类中的方法org.tensorflow.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
removeLocalDevice(int) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes local_device = 1;
removeMemory(int) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
removeMetadata(String) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder: Map of metadata field name to metadata field.
removeMetaGraphs(int) - 类中的方法org.tensorflow.framework.SavedModel.Builder: One or more MetaGraphs.
removeModelVersionStatus(int) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder: Version number and status information for applicable model version(s).
removeNestedContexts(int) - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
removeNestedContexts(int) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
removeNode(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
removeNode(int) - 类中的方法org.tensorflow.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
removeNodeDef(int) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
removeNodeInfo(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
removeNodeInput(int) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
removeNodeInputInfo(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
removeNodeOutputInfo(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
removeNodes(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
removeNodeStats(int) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
removeOp(int) - 类中的方法org.tensorflow.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
removeOp(int) - 类中的方法org.tensorflow.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
removeOutArg(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
removeOutput(int) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
removeOutputArg(int) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the output(s).
removeOutputInfo(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
removeOutputs(String) - 类中的方法org.tensorflow.framework.SignatureDef.Builder: Named output parameters.
removeOutputs(String) - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder: Output tensors.
removeParameterMap(String) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder: map<string, .tensorflow.AttrValue> parameter_map = 2;
removePartitionGraph(int) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: repeated .tensorflow.GraphDef partition_graph = 4;
removePartitionGraphs(int) - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
removePlatformConfigs(String) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder: A map from a platform name to a platform config.
removeQueue(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder: repeated .tensorflow.eager.QueueItem queue = 3;
removeQueueResponse(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder: A single operation response for every item in the request.
removeRecv(int) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
removeReferencedTensor(int) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
removeRegressions(int) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder: repeated .tensorflow.serving.Regression regressions = 1;
removeRemoteDevice(int) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes remote_device = 2;
removeResourceHandleVal(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
removeResults(int) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
removeRet(String) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
removeSend(int) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Runs the graph.
removeServables(int) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: The servables to monitor for new versions, and aspire.
removeSessionInterOpThreadPool(int) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
removeShape(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
removeShape(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder: repeated .tensorflow.TensorShapeProto shape = 1;
removeSignatureDef(String) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
removeSignatureDef(String) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder: map<string, .tensorflow.SignatureDef> signature_def = 1;
removeSlices(int) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
removeSlotVariables(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Slot variables owned by this object.
removeSourceFiles(int) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder: A collection of source code files.
removeStep(int) - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder: repeated .tensorflow.LabeledStepStats step = 1;
removeStepSequence(int) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder: repeated .tensorflow.StepSequence step_sequence = 1;
removeTasks(int) - 类中的方法org.tensorflow.distruntime.JobDef.Builder: Mapping from task ID to "hostname:port" string.
removeTasks(int) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Inference tasks.
removeTensor(int) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
removeTensor(int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
removeTensor(int) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
removeTensorConnection(int) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be connected in the callable.
removeTensors(int) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
removeTensors(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
removeValue(int) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
removeValue(int) - 类中的方法org.tensorflow.framework.Summary.Builder: Set of values for the summary.
removeVariantVal(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
removeVirtualDevices(int) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
RENAME_TO_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ApiDef.Arg
RENAME_TO_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ApiDef.Attr
RENDEZVOUS_ID_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
RENDEZVOUS_KEY_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvTensorRequest
REPORT_TENSOR_ALLOCATIONS_UPON_OOM_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.ExecutorOpts
REPORT_TENSOR_ALLOCATIONS_UPON_OOM_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RunOptions
REQUEST_FIELD_NUMBER - 类中的静态变量tensorflow.serving.PredictionLogOuterClass.ClassifyLog
REQUEST_FIELD_NUMBER - 类中的静态变量tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
REQUEST_FIELD_NUMBER - 类中的静态变量tensorflow.serving.PredictionLogOuterClass.PredictLog
REQUEST_FIELD_NUMBER - 类中的静态变量tensorflow.serving.PredictionLogOuterClass.RegressLog
REQUEST_FIELD_NUMBER - 类中的静态变量tensorflow.serving.PredictionLogOuterClass.SessionRunLog
REQUEST_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvBufRequest
REQUEST_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvTensorRequest
REQUESTED_BYTES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AllocationDescription
reset(ResetRequest) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceBlockingStub: Close and abandon all existing sessions.
reset(ResetRequest) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceFutureStub: Close and abandon all existing sessions.
reset(ResetRequest, StreamObserver<ResetResponse>) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceImplBase: Close and abandon all existing sessions.
reset(ResetRequest, StreamObserver<ResetResponse>) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceStub: Close and abandon all existing sessions.
RESET_DISK_BYTE_USAGE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DebugOptions
ResetRequest - org.tensorflow.distruntime中的类: Reset() allows misbehaving or slow sessions to be aborted and closed, and causes their resources eventually to be released.
ResetRequest.Builder - org.tensorflow.distruntime中的类: Reset() allows misbehaving or slow sessions to be aborted and closed, and causes their resources eventually to be released.
ResetRequestOrBuilder - org.tensorflow.distruntime中的接口
ResetResponse - org.tensorflow.distruntime中的类: Protobuf type tensorflow.ResetResponse
ResetResponse.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.ResetResponse
ResetResponseOrBuilder - org.tensorflow.distruntime中的接口
RESOURCE_EXHAUSTED_VALUE - 枚举中的静态变量org.tensorflow.framework.Code: Some resource has been exhausted, perhaps a per-user quota, or perhaps the entire file system is out of space.
RESOURCE_HANDLE_VAL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorProto
ResourceHandle - org.tensorflow.framework中的类
ResourceHandleProto - org.tensorflow.framework中的类: Protocol buffer representing a handle to a tensorflow resource.
ResourceHandleProto.Builder - org.tensorflow.framework中的类: Protocol buffer representing a handle to a tensorflow resource.
ResourceHandleProtoOrBuilder - org.tensorflow.framework中的接口
RESPONSE_FIELD_NUMBER - 类中的静态变量tensorflow.serving.PredictionLogOuterClass.ClassifyLog
RESPONSE_FIELD_NUMBER - 类中的静态变量tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
RESPONSE_FIELD_NUMBER - 类中的静态变量tensorflow.serving.PredictionLogOuterClass.PredictLog
RESPONSE_FIELD_NUMBER - 类中的静态变量tensorflow.serving.PredictionLogOuterClass.RegressLog
RESPONSE_FIELD_NUMBER - 类中的静态变量tensorflow.serving.PredictionLogOuterClass.SessionRunLog
RESTORE_OP_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.util.SaverDef
RESULT_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Classification.ClassificationResponse
RESULT_FIELD_NUMBER - 类中的静态变量tensorflow.serving.RegressionOuterClass.RegressionResponse
RESULTS_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Inference.MultiInferenceResponse
RET_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.FunctionDef
REWRITE_OPTIONS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphOptions
RewriterConfig - org.tensorflow.framework中的类: Graph rewriting is experimental and subject to change, not covered by any API stability guarantees.
RewriterConfig.Builder - org.tensorflow.framework中的类: Graph rewriting is experimental and subject to change, not covered by any API stability guarantees.
RewriterConfig.CustomGraphOptimizer - org.tensorflow.framework中的类: Message to describe custom graph optimizer and its parameters Protobuf type tensorflow.RewriterConfig.CustomGraphOptimizer
RewriterConfig.CustomGraphOptimizer.Builder - org.tensorflow.framework中的类: Message to describe custom graph optimizer and its parameters Protobuf type tensorflow.RewriterConfig.CustomGraphOptimizer
RewriterConfig.CustomGraphOptimizerOrBuilder - org.tensorflow.framework中的接口
RewriterConfig.MemOptType - org.tensorflow.framework中的枚举: Protobuf enum tensorflow.RewriterConfig.MemOptType
RewriterConfig.NumIterationsType - org.tensorflow.framework中的枚举: Enum controlling the number of times to run optimizers.
RewriterConfig.Toggle - org.tensorflow.framework中的枚举: Protobuf enum tensorflow.RewriterConfig.Toggle
RewriterConfigOrBuilder - org.tensorflow.framework中的接口
RewriterConfigProtos - org.tensorflow.framework中的类
RPC_OPTIONS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ConfigProto
RPCOptions - org.tensorflow.framework中的类: Protobuf type tensorflow.RPCOptions
RPCOptions.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.RPCOptions
RPCOptionsOrBuilder - org.tensorflow.framework中的接口
RUN_OPTIONS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CallableOptions
runCallable(RunCallableRequest) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceBlockingStub: Executes a callable registered with MakeCallable.
runCallable(RunCallableRequest) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceFutureStub: Executes a callable registered with MakeCallable.
runCallable(RunCallableRequest, StreamObserver<RunCallableResponse>) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceImplBase: Executes a callable registered with MakeCallable.
runCallable(RunCallableRequest, StreamObserver<RunCallableResponse>) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceStub: Executes a callable registered with MakeCallable.
RunCallableRequest - org.tensorflow.distruntime中的类: Protobuf type tensorflow.RunCallableRequest
RunCallableRequest.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.RunCallableRequest
RunCallableRequestOrBuilder - org.tensorflow.distruntime中的接口
RunCallableResponse - org.tensorflow.distruntime中的类: Protobuf type tensorflow.RunCallableResponse
RunCallableResponse.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.RunCallableResponse
RunCallableResponseOrBuilder - org.tensorflow.distruntime中的接口
runGraph(RunGraphRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceBlockingStub: See worker.proto for details.
runGraph(RunGraphRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceFutureStub: See worker.proto for details.
runGraph(RunGraphRequest, StreamObserver<RunGraphResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceImplBase: See worker.proto for details.
runGraph(RunGraphRequest, StreamObserver<RunGraphResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceStub: See worker.proto for details.
RunGraphRequest - org.tensorflow.distruntime中的类: Protobuf type tensorflow.RunGraphRequest
RunGraphRequest.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.RunGraphRequest
RunGraphRequestOrBuilder - org.tensorflow.distruntime中的接口
RunGraphResponse - org.tensorflow.distruntime中的类: Protobuf type tensorflow.RunGraphResponse
RunGraphResponse.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.RunGraphResponse
RunGraphResponseOrBuilder - org.tensorflow.distruntime中的接口
RunMetadata - org.tensorflow.framework中的类: Metadata output (i.e., non-Tensor) for a single Run() call.
RunMetadata.Builder - org.tensorflow.framework中的类: Metadata output (i.e., non-Tensor) for a single Run() call.
RunMetadataOrBuilder - org.tensorflow.framework中的接口
RunOptions - org.tensorflow.framework中的类: Options for a single Run() call.
RunOptions.Builder - org.tensorflow.framework中的类: Options for a single Run() call.
RunOptions.Experimental - org.tensorflow.framework中的类: Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
RunOptions.Experimental.Builder - org.tensorflow.framework中的类: Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
RunOptions.ExperimentalOrBuilder - org.tensorflow.framework中的接口
RunOptions.TraceLevel - org.tensorflow.framework中的枚举: TODO(pbar) Turn this into a TraceOptions proto which allows tracing to be controlled in a more orthogonal manner?
RunOptionsOrBuilder - org.tensorflow.framework中的接口
runStep(RunStepRequest) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceBlockingStub: Drives the graph computation.
runStep(RunStepRequest) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceFutureStub: Drives the graph computation.
runStep(RunStepRequest, StreamObserver<RunStepResponse>) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceImplBase: Drives the graph computation.
runStep(RunStepRequest, StreamObserver<RunStepResponse>) - 类中的方法org.tensorflow.distruntime.MasterServiceGrpc.MasterServiceStub: Drives the graph computation.
RunStepRequest - org.tensorflow.distruntime中的类: Protobuf type tensorflow.RunStepRequest
RunStepRequest.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.RunStepRequest
RunStepRequestOrBuilder - org.tensorflow.distruntime中的接口
RunStepResponse - org.tensorflow.distruntime中的类: Protobuf type tensorflow.RunStepResponse
RunStepResponse.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.RunStepResponse
RunStepResponseOrBuilder - org.tensorflow.distruntime中的接口

S

S_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AttrValue.ListValue
S_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AttrValue
SAMPLE_RATE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.Summary.Audio
SAMPLING_CONFIG_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Logging.LogMetadata
SAMPLING_CONFIG_FIELD_NUMBER - 类中的静态变量tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
SAMPLING_RATE_FIELD_NUMBER - 类中的静态变量tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
SAVE_SLICE_INFO_DEF_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.VariableDef
SAVE_TENSOR_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.util.SaverDef
SAVED_MODEL_SCHEMA_VERSION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.SavedModel
SavedModel - org.tensorflow.framework中的类: SavedModel is the high level serialization format for TensorFlow Models.
SavedModel.Builder - org.tensorflow.framework中的类: SavedModel is the high level serialization format for TensorFlow Models.
SavedModelOrBuilder - org.tensorflow.framework中的接口
SavedModelProtos - org.tensorflow.framework中的类
SAVER_DEF_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MetaGraphDef
SaverDef - org.tensorflow.util中的类: Protocol buffer representing the configuration of a Saver.
SaverDef.Builder - org.tensorflow.util中的类: Protocol buffer representing the configuration of a Saver.
SaverDef.CheckpointFormatVersion - org.tensorflow.util中的枚举: A version number that identifies a different on-disk checkpoint format.
SaverDefOrBuilder - org.tensorflow.util中的接口
SaverProtos - org.tensorflow.util中的类
SaveSliceInfoDef - org.tensorflow.framework中的类: Protobuf type tensorflow.SaveSliceInfoDef
SaveSliceInfoDef.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.SaveSliceInfoDef
SaveSliceInfoDefOrBuilder - org.tensorflow.framework中的接口
SCHEDULED_MICROS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeExecStats
SCHEDULED_NANOS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeExecStats
SCHEDULING_HEURISTICS_VALUE - 枚举中的静态变量org.tensorflow.framework.RewriterConfig.MemOptType: Scheduling will split big ops such as AddN and try to enforce a schedule of the new computations that decreases peak memory usage.
SCOMPLEX_VAL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorProto
SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RewriterConfig
SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RewriterConfig
ScopedAllocatorOptions - org.tensorflow.framework中的类: Protobuf type tensorflow.ScopedAllocatorOptions
ScopedAllocatorOptions.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.ScopedAllocatorOptions
ScopedAllocatorOptionsOrBuilder - org.tensorflow.framework中的接口
SCORE_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Classification.Class
SEND_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunGraphRequest
SEND_START_MICROS_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvBufResponse
SEND_START_MICROS_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvTensorResponse
sendTensor(EagerServiceOuterClass.SendTensorRequest) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceBlockingStub: An RPC to push tensors to the server.
sendTensor(EagerServiceOuterClass.SendTensorRequest) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceFutureStub: An RPC to push tensors to the server.
sendTensor(EagerServiceOuterClass.SendTensorRequest, StreamObserver<EagerServiceOuterClass.SendTensorResponse>) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceImplBase: An RPC to push tensors to the server.
sendTensor(EagerServiceOuterClass.SendTensorRequest, StreamObserver<EagerServiceOuterClass.SendTensorResponse>) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceStub: An RPC to push tensors to the server.
SequenceExample - org.tensorflow.example中的类: Protobuf type tensorflow.SequenceExample
SequenceExample.Builder - org.tensorflow.example中的类: Protobuf type tensorflow.SequenceExample
SequenceExampleOrBuilder - org.tensorflow.example中的接口
SERIALIZED_EXECUTOR_PARAMETERS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RemoteFusedGraphExecuteInfo
SerializedInputOuterClass - tensorflow.serving.internal中的类
SerializedInputOuterClass.SerializedExampleList - tensorflow.serving.internal中的类: Protobuf type tensorflow.serving.internal.SerializedExampleList
SerializedInputOuterClass.SerializedExampleList.Builder - tensorflow.serving.internal中的类: Protobuf type tensorflow.serving.internal.SerializedExampleList
SerializedInputOuterClass.SerializedExampleListOrBuilder - tensorflow.serving.internal中的接口
SerializedInputOuterClass.SerializedExampleListWithContext - tensorflow.serving.internal中的类: Protobuf type tensorflow.serving.internal.SerializedExampleListWithContext
SerializedInputOuterClass.SerializedExampleListWithContext.Builder - tensorflow.serving.internal中的类: Protobuf type tensorflow.serving.internal.SerializedExampleListWithContext
SerializedInputOuterClass.SerializedExampleListWithContextOrBuilder - tensorflow.serving.internal中的接口
SerializedInputOuterClass.SerializedInput - tensorflow.serving.internal中的类: Protobuf type tensorflow.serving.internal.SerializedInput
SerializedInputOuterClass.SerializedInput.Builder - tensorflow.serving.internal中的类: Protobuf type tensorflow.serving.internal.SerializedInput
SerializedInputOuterClass.SerializedInput.KindCase - tensorflow.serving.internal中的枚举
SerializedInputOuterClass.SerializedInputOrBuilder - tensorflow.serving.internal中的接口
SERVABLE_NAME_FIELD_NUMBER - 类中的静态变量tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
SERVABLE_NAME_FIELD_NUMBER - 类中的静态变量tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
SERVABLE_NAME_FIELD_NUMBER - 类中的静态变量tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
SERVABLE_VERSION_POLICY_FIELD_NUMBER - 类中的静态变量tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
SERVABLES_FIELD_NUMBER - 类中的静态变量tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
SERVER_CERT_FIELD_NUMBER - 类中的静态变量tensorflow.serving.SslConfig.SSLConfig
SERVER_DEF_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CreateWorkerSessionRequest
SERVER_DEF_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
SERVER_KEY_FIELD_NUMBER - 类中的静态变量tensorflow.serving.SslConfig.SSLConfig
SERVER_LOCALITY_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvBufRequest
SERVER_LOCALITY_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvTensorRequest
ServerDef - org.tensorflow.distruntime中的类: Defines the configuration of a single TensorFlow server.
ServerDef.Builder - org.tensorflow.distruntime中的类: Defines the configuration of a single TensorFlow server.
ServerDefOrBuilder - org.tensorflow.distruntime中的接口
ServerProtos - org.tensorflow.distruntime中的类
SERVICE_NAME - 类中的静态变量org.tensorflow.distruntime.MasterServiceGrpc
SERVICE_NAME - 类中的静态变量org.tensorflow.distruntime.WorkerServiceGrpc
SERVICE_NAME - 类中的静态变量tensorflow.eager.EagerServiceGrpc
SERVICE_NAME - 类中的静态变量tensorflow.serving.ModelServiceGrpc
SERVICE_NAME - 类中的静态变量tensorflow.serving.PredictionServiceGrpc
SERVICE_NAME - 类中的静态变量tensorflow.serving.SessionServiceGrpc
SESSION_HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CloseSessionRequest
SESSION_HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CreateSessionResponse
SESSION_HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CreateWorkerSessionRequest
SESSION_HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.DeleteWorkerSessionRequest
SESSION_HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.DeregisterGraphRequest
SESSION_HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.ExtendSessionRequest
SESSION_HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.ListDevicesRequest
SESSION_HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.MakeCallableRequest
SESSION_HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.PartialRunSetupRequest
SESSION_HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RegisterGraphRequest
SESSION_HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.ReleaseCallableRequest
SESSION_HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunCallableRequest
SESSION_HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunGraphRequest
SESSION_HANDLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunStepRequest
SESSION_INTER_OP_THREAD_POOL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ConfigProto
SESSION_RUN_LOG_FIELD_NUMBER - 类中的静态变量tensorflow.serving.PredictionLogOuterClass.PredictionLog
sessionRun(SessionServiceOuterClass.SessionRunRequest) - 类中的方法tensorflow.serving.SessionServiceGrpc.SessionServiceBlockingStub: Runs inference of a given model.
sessionRun(SessionServiceOuterClass.SessionRunRequest) - 类中的方法tensorflow.serving.SessionServiceGrpc.SessionServiceFutureStub: Runs inference of a given model.
sessionRun(SessionServiceOuterClass.SessionRunRequest, StreamObserver<SessionServiceOuterClass.SessionRunResponse>) - 类中的方法tensorflow.serving.SessionServiceGrpc.SessionServiceImplBase: Runs inference of a given model.
sessionRun(SessionServiceOuterClass.SessionRunRequest, StreamObserver<SessionServiceOuterClass.SessionRunResponse>) - 类中的方法tensorflow.serving.SessionServiceGrpc.SessionServiceStub: Runs inference of a given model.
SessionServiceGrpc - tensorflow.serving中的类: SessionService defines a service with which a client can interact to execute Tensorflow model inference.
SessionServiceGrpc.SessionServiceBlockingStub - tensorflow.serving中的类: SessionService defines a service with which a client can interact to execute Tensorflow model inference.
SessionServiceGrpc.SessionServiceFutureStub - tensorflow.serving中的类: SessionService defines a service with which a client can interact to execute Tensorflow model inference.
SessionServiceGrpc.SessionServiceImplBase - tensorflow.serving中的类: SessionService defines a service with which a client can interact to execute Tensorflow model inference.
SessionServiceGrpc.SessionServiceStub - tensorflow.serving中的类: SessionService defines a service with which a client can interact to execute Tensorflow model inference.
SessionServiceImplBase() - 类的构造器tensorflow.serving.SessionServiceGrpc.SessionServiceImplBase
SessionServiceOuterClass - tensorflow.serving中的类
SessionServiceOuterClass.SessionRunRequest - tensorflow.serving中的类: Protobuf type tensorflow.serving.SessionRunRequest
SessionServiceOuterClass.SessionRunRequest.Builder - tensorflow.serving中的类: Protobuf type tensorflow.serving.SessionRunRequest
SessionServiceOuterClass.SessionRunRequestOrBuilder - tensorflow.serving中的接口
SessionServiceOuterClass.SessionRunResponse - tensorflow.serving中的类: Protobuf type tensorflow.serving.SessionRunResponse
SessionServiceOuterClass.SessionRunResponse.Builder - tensorflow.serving中的类: Protobuf type tensorflow.serving.SessionRunResponse
SessionServiceOuterClass.SessionRunResponseOrBuilder - tensorflow.serving中的接口
setAliasInputPort(long) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder: If >= 0, the output is an alias of an input.
setAll(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All all = 101;
setAll(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All all = 101;
setAllEndRelMicros(long) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 all_end_rel_micros = 5;
setAllEndRelNanos(long) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 all_end_rel_nanos = 16;
setAllocatedBytes(long) - 类中的方法org.tensorflow.framework.AllocationDescription.Builder: Total number of bytes allocated if known int64 allocated_bytes = 2;
setAllocationDescription(AllocationDescription) - 类中的方法org.tensorflow.framework.TensorDescription.Builder: Information about the size and allocator used for the data .tensorflow.AllocationDescription allocation_description = 4;
setAllocationDescription(AllocationDescription.Builder) - 类中的方法org.tensorflow.framework.TensorDescription.Builder: Information about the size and allocator used for the data .tensorflow.AllocationDescription allocation_description = 4;
setAllocationId(long) - 类中的方法org.tensorflow.framework.AllocationDescription.Builder: Identifier of the allocated buffer if known int64 allocation_id = 4;
setAllocationId(long) - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder: Id of the tensor buffer being allocated, used to match to a corresponding deallocation.
setAllocationId(long) - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
setAllocationId(long) - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
setAllocationRecords(int, AllocationRecord) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
setAllocationRecords(int, AllocationRecord.Builder) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
setAllocatorBytesInUse(long) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: These are snapshots of the overall allocator memory stats.
setAllocatorName(String) - 类中的方法org.tensorflow.framework.AllocationDescription.Builder: Name of the allocator used string allocator_name = 3;
setAllocatorName(String) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: string allocator_name = 1;
setAllocatorName(String) - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder: Name of the allocator used.
setAllocatorName(String) - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder: Name of the allocator used.
setAllocatorName(String) - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder: Name of the allocator used.
setAllocatorNameBytes(ByteString) - 类中的方法org.tensorflow.framework.AllocationDescription.Builder: Name of the allocator used string allocator_name = 3;
setAllocatorNameBytes(ByteString) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: string allocator_name = 1;
setAllocatorNameBytes(ByteString) - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder: Name of the allocator used.
setAllocatorNameBytes(ByteString) - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder: Name of the allocator used.
setAllocatorNameBytes(ByteString) - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder: Name of the allocator used.
setAllocatorType(String) - 类中的方法org.tensorflow.framework.GPUOptions.Builder: The type of GPU allocation strategy to use.
setAllocatorTypeBytes(ByteString) - 类中的方法org.tensorflow.framework.GPUOptions.Builder: The type of GPU allocation strategy to use.
setAllocBytes(long) - 类中的方法org.tensorflow.framework.AllocationRecord.Builder: Number of bytes allocated, or de-allocated if negative.
setAllocMicros(long) - 类中的方法org.tensorflow.framework.AllocationRecord.Builder: The timestamp of the operation.
setAllowedValues(AttrValue) - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
setAllowedValues(AttrValue.Builder) - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
setAllowedValues(AttrValue) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: The set of allowed values.
setAllowedValues(AttrValue.Builder) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: The set of allowed values.
setAllowGrowth(boolean) - 类中的方法org.tensorflow.framework.GPUOptions.Builder: If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
setAllowSoftPlacement(boolean) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Whether soft placement is allowed.
setAllowsUninitializedInput(boolean) - 类中的方法org.tensorflow.framework.OpDef.Builder: By default, all inputs to an Op must be initialized Tensors.
setAllStartMicros(long) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 all_start_micros = 2;
setAllStartNanos(long) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 all_start_nanos = 13;
setAnyInfo(Any) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
setAnyInfo(Any.Builder) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
setAnyList(CollectionDef.AnyList) - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
setAnyList(CollectionDef.AnyList.Builder) - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
setArgOrder(int, String) - 类中的方法org.tensorflow.framework.ApiDef.Builder: List of original in_arg names to specify new argument order.
setArithmeticOptimization(RewriterConfig.Toggle) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Arithmetic optimizations (default is ON) e.g.
setArithmeticOptimizationValue(int) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Arithmetic optimizations (default is ON) e.g.
setAssetFileDef(int, AssetFileDef) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
setAssetFileDef(int, AssetFileDef.Builder) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
setAsync(boolean) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: Whether the ops on the worker should be executed synchronously or asynchronously.
setAttr(int, ApiDef.Attr) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
setAttr(int, ApiDef.Attr.Builder) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
setAttr(int, OpDef.AttrDef) - 类中的方法org.tensorflow.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
setAttr(int, OpDef.AttrDef.Builder) - 类中的方法org.tensorflow.framework.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
setAttributes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Serialized data specific to this object.
setAttributes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Serialized data specific to this object.
setAudio(Summary.Audio) - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
setAudio(Summary.Audio.Builder) - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
setAutoParallel(AutoParallelOptions) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
setAutoParallel(AutoParallelOptions.Builder) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
setB(boolean) - 类中的方法org.tensorflow.framework.AttrValue.Builder: "bool" bool b = 5;
setB(int, boolean) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(bool)" repeated bool b = 5 [packed = true];
setBackProp(boolean) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Whether backprop is enabled for this while loop.
setBadConsumers(int, int) - 类中的方法org.tensorflow.framework.VersionDef.Builder: Specific consumer versions which are disallowed (e.g. due to bugs).
setBandwidth(long) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Memory bandwidth in KB/s int64 bandwidth = 13;
setBasePath(String) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: 已过时。
setBasePath(String) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder: The path to monitor, i.e. look for child paths of the form base_path/123.
setBasePath(String) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Base path to the model, excluding the version directory.
setBasePathBytes(ByteString) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: 已过时。
setBasePathBytes(ByteString) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder: The path to monitor, i.e. look for child paths of the form base_path/123.
setBasePathBytes(ByteString) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Base path to the model, excluding the version directory.
setBoolVal(int, boolean) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_BOOL repeated bool bool_val = 11 [packed = true];
setBranch(int) - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Branch prediction. 0 or 1.
setBucket(int, double) - 类中的方法org.tensorflow.framework.HistogramProto.Builder: repeated double bucket = 7 [packed = true];
setBucketLimit(int, double) - 类中的方法org.tensorflow.framework.HistogramProto.Builder: Parallel arrays encoding the bucket boundaries and the bucket values.
setBufPtr(long) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: When RDMA is in use, address of destination field on client.
setBufPtr(long) - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder: Address of source field on server.
setBufRendezvousKey(String) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Arbitrary string identifying a BufRendezvous entry.
setBufRendezvousKeyBytes(ByteString) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Arbitrary string identifying a BufRendezvous entry.
setBuildCostModel(long) - 类中的方法org.tensorflow.framework.GraphOptions.Builder: The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. 0 means no cost model.
setBuildCostModelAfter(long) - 类中的方法org.tensorflow.framework.GraphOptions.Builder: The number of steps to skip before collecting statistics for the cost model.
setBusId(int) - 类中的方法org.tensorflow.framework.DeviceLocality.Builder: Optional bus locality of device.
setBytes(long) - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: Byte size of the file.
setBytesList(BytesList) - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
setBytesList(BytesList.Builder) - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
setBytesList(CollectionDef.BytesList) - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
setBytesList(CollectionDef.BytesList.Builder) - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
setCancelOpName(String) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: The operation to run to cancel the queue.
setCancelOpNameBytes(ByteString) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: The operation to run to cancel the queue.
setCheckpointKey(String) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder: The generated name of the Tensor in the checkpoint.
setCheckpointKeyBytes(ByteString) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder: The generated name of the Tensor in the checkpoint.
setChildren(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Objects which this object depends on.
setChildren(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Objects which this object depends on.
setClasses(int, Classification.Class) - 类中的方法tensorflow.serving.Classification.Classifications.Builder: repeated .tensorflow.serving.Class classes = 1;
setClasses(int, Classification.Class.Builder) - 类中的方法tensorflow.serving.Classification.Classifications.Builder: repeated .tensorflow.serving.Class classes = 1;
setClassificationResult(Classification.ClassificationResult) - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.ClassificationResult classification_result = 2;
setClassificationResult(Classification.ClassificationResult.Builder) - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.ClassificationResult classification_result = 2;
setClassifications(int, Classification.Classifications) - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder: repeated .tensorflow.serving.Classifications classifications = 1;
setClassifications(int, Classification.Classifications.Builder) - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder: repeated .tensorflow.serving.Classifications classifications = 1;
setClassifyLog(PredictionLogOuterClass.ClassifyLog) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.ClassifyLog classify_log = 2;
setClassifyLog(PredictionLogOuterClass.ClassifyLog.Builder) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.ClassifyLog classify_log = 2;
setClear(boolean) - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder: If true, discard any saved logging data (for all steps).
setClientLocality(DeviceLocality) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional information on client-side device locality.
setClientLocality(DeviceLocality.Builder) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional information on client-side device locality.
setClientLocality(DeviceLocality) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information on client-side device locality.
setClientLocality(DeviceLocality.Builder) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information on client-side device locality.
setClientVerify(boolean) - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder: valid client certificate required ?
setCloseOpName(String) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: The operation to run to close the queue.
setCloseOpNameBytes(ByteString) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: The operation to run to close the queue.
setCluster(ClusterDef) - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The cluster of which this server is a member.
setCluster(ClusterDef.Builder) - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The cluster of which this server is a member.
setClusterDef(ClusterDef) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Optional list of all workers to use in this session.
setClusterDef(ClusterDef.Builder) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Optional list of all workers to use in this session.
setCollectiveGraphKey(long) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: If graph_def contains any collective ops this must be a positive integer used to coordinate execution with other graphs.
setCollectiveGraphKey(long) - 类中的方法org.tensorflow.framework.RunOptions.Experimental.Builder: If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
setCollectiveGroupLeader(String) - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder: Task name for group resolution.
setCollectiveGroupLeaderBytes(ByteString) - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder: Task name for group resolution.
setColorspace(int) - 类中的方法org.tensorflow.framework.Summary.Image.Builder: Valid colorspace values are 1 - grayscale 2 - grayscale + alpha 3 - RGB 4 - RGBA 5 - DIGITAL_YUV 6 - BGRA int32 colorspace = 3;
setComputeCost(long) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Estimate of the computational cost of this node, in microseconds.
setComputeTime(long) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Analytical estimate of the computational cost of this node, in microseconds.
setCondCtxt(CondContextDef) - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
setCondCtxt(CondContextDef.Builder) - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
setConfig(ConfigProto) - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder: Configuration options.
setConfig(ConfigProto.Builder) - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder: Configuration options.
setConfig(ModelServerConfigOuterClass.ModelServerConfig) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder: .tensorflow.serving.ModelServerConfig config = 1;
setConfig(ModelServerConfigOuterClass.ModelServerConfig.Builder) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder: .tensorflow.serving.ModelServerConfig config = 1;
setConfig(int, ModelServerConfigOuterClass.ModelConfig) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder: repeated .tensorflow.serving.ModelConfig config = 1;
setConfig(int, ModelServerConfigOuterClass.ModelConfig.Builder) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder: repeated .tensorflow.serving.ModelConfig config = 1;
setConstantFolding(RewriterConfig.Toggle) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
setConstantFoldingValue(int) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
setConstNodeInfo(int, GraphTransferConstNodeInfo) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
setConstNodeInfo(int, GraphTransferConstNodeInfo.Builder) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
setConstraint(int, KernelDef.AttrConstraint) - 类中的方法org.tensorflow.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
setConstraint(int, KernelDef.AttrConstraint.Builder) - 类中的方法org.tensorflow.framework.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
setContainer(int, String) - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder: A list of container names.
setContainer(int, String) - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder: A list of container names, which may be empty.
setContainer(String) - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: Container in which this resource is placed.
setContainerBytes(ByteString) - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: Container in which this resource is placed.
setContent(ByteString) - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder: The content to store for the plugin.
setContentType(String) - 类中的方法org.tensorflow.framework.Summary.Audio.Builder: string content_type = 5;
setContentTypeBytes(ByteString) - 类中的方法org.tensorflow.framework.Summary.Audio.Builder: string content_type = 5;
setContext(Features) - 类中的方法org.tensorflow.example.SequenceExample.Builder: .tensorflow.Features context = 1;
setContext(Features.Builder) - 类中的方法org.tensorflow.example.SequenceExample.Builder: .tensorflow.Features context = 1;
setContext(Example) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: .tensorflow.Example context = 2;
setContext(Example.Builder) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: .tensorflow.Example context = 2;
setContext(ByteString) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder: bytes context = 2;
setContextId(long) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder: fixed64 context_id = 1;
setContextId(long) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder: The ID of the created context.
setContextId(long) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder: fixed64 context_id = 1;
setContextId(long) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder: fixed64 context_id = 1;
setContextId(long) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder: fixed64 context_id = 1;
setContextId(long) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: fixed64 context_id = 1;
setContextId(long) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder: fixed64 context_id = 1;
setContextName(String) - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Name of the context.
setContextName(String) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Name of the context.
setContextNameBytes(ByteString) - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Name of the context.
setContextNameBytes(ByteString) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Name of the context.
setControlInput(int, int) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Ids of the control inputs for this node.
setControlOpIds(int, long) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: Control Operation IDs that will be respected when ops are re-ordered by async execution.
setCooSparse(TensorInfo.CooSparse) - 类中的方法org.tensorflow.framework.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
setCooSparse(TensorInfo.CooSparse.Builder) - 类中的方法org.tensorflow.framework.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
setCostGraph(CostGraphDef) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: .tensorflow.CostGraphDef cost_graph = 3;
setCostGraph(CostGraphDef.Builder) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: .tensorflow.CostGraphDef cost_graph = 3;
setCostGraph(CostGraphDef) - 类中的方法org.tensorflow.framework.RunMetadata.Builder: The cost graph for the computation defined by the run call.
setCostGraph(CostGraphDef.Builder) - 类中的方法org.tensorflow.framework.RunMetadata.Builder: The cost graph for the computation defined by the run call.
setCrc32C(int) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: The CRC32C checksum of the tensor bytes.
setCreateWorkerSessionCalled(boolean) - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder: Set to true if `CreateWorkerSession` was called for `session_handle`.
setCreateWorkerSessionCalled(boolean) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Set to true if `CreateWorkerSession` was called for `session_handle`.
setCreateWorkerSessionCalled(boolean) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Set to true if `CreateWorkerSession` was called for `session_handle`.
setCriticalSectionName(String) - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder: Name of the critical section handle.
setCriticalSectionNameBytes(ByteString) - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder: Name of the critical section handle.
setCurrentGraphVersion(long) - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder: REQUIRED: The version number of the graph to be extended.
setCurrentWork(ByteString) - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder: bytes current_work = 4;
setCustomCa(String) - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder: custom certificate authority string custom_ca = 3;
setCustomCaBytes(ByteString) - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder: custom certificate authority string custom_ca = 3;
setCustomModelConfig(Any) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder: .google.protobuf.Any custom_model_config = 2;
setCustomModelConfig(Any.Builder) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder: .google.protobuf.Any custom_model_config = 2;
setCustomOptimizers(int, RewriterConfig.CustomGraphOptimizer) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
setCustomOptimizers(int, RewriterConfig.CustomGraphOptimizer.Builder) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
setData(ByteString) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: bytes data = 4;
setDataType(DataType) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: .tensorflow.DataType data_type = 3;
setDataTypeValue(int) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: .tensorflow.DataType data_type = 3;
setDcomplexVal(int, double) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
setDebugOps(int, String) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
setDebugOptions(DebugOptions) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Field(s) used by TensorFlow Debugger (tfdbg).
setDebugOptions(DebugOptions.Builder) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Field(s) used by TensorFlow Debugger (tfdbg).
setDebugOptions(DebugOptions) - 类中的方法org.tensorflow.framework.RunOptions.Builder: EXPERIMENTAL.
setDebugOptions(DebugOptions.Builder) - 类中的方法org.tensorflow.framework.RunOptions.Builder: EXPERIMENTAL.
setDebugStripper(RewriterConfig.Toggle) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Strips debug-related nodes from the graph (off by default).
setDebugStripperValue(int) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Strips debug-related nodes from the graph (off by default).
setDebugTensorWatchOpts(int, DebugTensorWatch) - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
setDebugTensorWatchOpts(int, DebugTensorWatch.Builder) - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
setDebugUrls(int, String) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: URL(s) for debug targets(s).
setDefaultGraphInputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
setDefaultGraphInputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
setDefaultGraphOutputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
setDefaultGraphOutputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
setDefaultSessionConfig(ConfigProto) - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The default configuration for sessions that run on this server.
setDefaultSessionConfig(ConfigProto.Builder) - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The default configuration for sessions that run on this server.
setDefaultValue(TensorProto) - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
setDefaultValue(TensorProto.Builder) - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
setDefaultValue(AttrValue) - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
setDefaultValue(AttrValue.Builder) - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
setDefaultValue(AttrValue) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
setDefaultValue(AttrValue.Builder) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
setDeferred(boolean) - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder: True if the deallocation is queued and will be performed later, e.g. for GPU lazy freeing of buffers.
setDeferredDeletionBytes(long) - 类中的方法org.tensorflow.framework.GPUOptions.Builder: Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.
setDenseShapeTensorName(String) - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
setDenseShapeTensorNameBytes(ByteString) - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
setDependencyOptimization(RewriterConfig.Toggle) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Control dependency optimizations (default is ON).
setDependencyOptimizationValue(int) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Control dependency optimizations (default is ON).
setDeprecated(boolean) - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder: Set if this endpoint is deprecated.
setDeprecation(OpDeprecation) - 类中的方法org.tensorflow.framework.OpDef.Builder: Optional deprecation based on GraphDef versions.
setDeprecation(OpDeprecation.Builder) - 类中的方法org.tensorflow.framework.OpDef.Builder: Optional deprecation based on GraphDef versions.
setDeprecationMessage(String) - 类中的方法org.tensorflow.framework.ApiDef.Builder: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
setDeprecationMessageBytes(ByteString) - 类中的方法org.tensorflow.framework.ApiDef.Builder: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
setDescription(String) - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder: Note: this will replace any inherited arg doc.
setDescription(String) - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
setDescription(String) - 类中的方法org.tensorflow.framework.ApiDef.Builder: Additional, longer human-readable description of what the Op does.
setDescription(String) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: Human readable description.
setDescription(String) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: Human-readable description.
setDescription(String) - 类中的方法org.tensorflow.framework.OpDef.Builder: Additional, longer human-readable description of what the Op does.
setDescriptionBytes(ByteString) - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder: Note: this will replace any inherited arg doc.
setDescriptionBytes(ByteString) - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
setDescriptionBytes(ByteString) - 类中的方法org.tensorflow.framework.ApiDef.Builder: Additional, longer human-readable description of what the Op does.
setDescriptionBytes(ByteString) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: Human readable description.
setDescriptionBytes(ByteString) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: Human-readable description.
setDescriptionBytes(ByteString) - 类中的方法org.tensorflow.framework.OpDef.Builder: Additional, longer human-readable description of what the Op does.
setDescriptionPrefix(String) - 类中的方法org.tensorflow.framework.ApiDef.Builder: Modify an existing/inherited description by adding text to the beginning or end.
setDescriptionPrefixBytes(ByteString) - 类中的方法org.tensorflow.framework.ApiDef.Builder: Modify an existing/inherited description by adding text to the beginning or end.
setDescriptionSuffix(String) - 类中的方法org.tensorflow.framework.ApiDef.Builder: string description_suffix = 10;
setDescriptionSuffixBytes(ByteString) - 类中的方法org.tensorflow.framework.ApiDef.Builder: string description_suffix = 10;
setDestination(GraphTransferInfo.Destination) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Destination of graph transfer .tensorflow.GraphTransferInfo.Destination destination = 7;
setDestinationValue(int) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Destination of graph transfer .tensorflow.GraphTransferInfo.Destination destination = 7;
setDevice(String) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: string device = 10;
setDevice(String) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: The device of the node.
setDevice(String) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: string device = 1;
setDevice(String) - 类中的方法org.tensorflow.framework.NodeDef.Builder: A (possibly partial) specification for the device on which this node should be placed.
setDevice(String) - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: Unique name for the device containing the resource.
setDevice(String) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: string device = 6;
setDeviceAttributes(int, DeviceAttributes) - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
setDeviceAttributes(int, DeviceAttributes.Builder) - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder: repeated .tensorflow.DeviceAttributes device_attributes = 1;
setDeviceAttributes(int, DeviceAttributes) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder: List of devices that are locally accessible to the worker.
setDeviceAttributes(int, DeviceAttributes.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder: List of devices that are locally accessible to the worker.
setDeviceBytes(ByteString) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: string device = 10;
setDeviceBytes(ByteString) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: The device of the node.
setDeviceBytes(ByteString) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: string device = 1;
setDeviceBytes(ByteString) - 类中的方法org.tensorflow.framework.NodeDef.Builder: A (possibly partial) specification for the device on which this node should be placed.
setDeviceBytes(ByteString) - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: Unique name for the device containing the resource.
setDeviceBytes(ByteString) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: string device = 6;
setDeviceFilters(int, String) - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder: When any filters are present, only devices that match the filters will be reset.
setDeviceFilters(int, String) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
setDeviceId(int) - 类中的方法org.tensorflow.framework.InterconnectLink.Builder: int32 device_id = 1;
setDeviceName(int, String) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder: repeated string device_name = 4;
setDeviceName(int, String) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: repeated string device_name = 5;
setDeviceName(String) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The device on which the tensors should be resident.
setDeviceNameBytes(ByteString) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The device on which the tensors should be resident.
setDevicePersistentMemorySize(long) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: 已过时。
setDevicePersistentMemorySize(long) - 类中的方法org.tensorflow.framework.MemoryStats.Builder: 已过时。
setDevicePersistentTensorAllocIds(int, long) - 类中的方法org.tensorflow.framework.MemoryStats.Builder: 已过时。
setDeviceTempMemorySize(long) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: 已过时。
setDeviceTempMemorySize(long) - 类中的方法org.tensorflow.framework.MemoryStats.Builder: 已过时。
setDeviceType(String) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder: string device_type = 3;
setDeviceType(String) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: string device_type = 3;
setDeviceType(String) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: string device_type = 8;
setDeviceType(String) - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: String representation of device_type.
setDeviceType(String) - 类中的方法org.tensorflow.framework.KernelDef.Builder: Type of device this kernel runs on.
setDeviceTypeBytes(ByteString) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder: string device_type = 3;
setDeviceTypeBytes(ByteString) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: string device_type = 3;
setDeviceTypeBytes(ByteString) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: string device_type = 8;
setDeviceTypeBytes(ByteString) - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: String representation of device_type.
setDeviceTypeBytes(ByteString) - 类中的方法org.tensorflow.framework.KernelDef.Builder: Type of device this kernel runs on.
setDevStats(int, DeviceStepStats) - 类中的方法org.tensorflow.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
setDevStats(int, DeviceStepStats.Builder) - 类中的方法org.tensorflow.framework.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
setDim(int, TensorShapeProto.Dim) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
setDim(int, TensorShapeProto.Dim.Builder) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
setDisableModelPruning(boolean) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2;
setDisableRpcLogging(boolean) - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder: If true, RPC logging will be disabled.
setDisplayName(String) - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder: Display name for viewing in TensorBoard.
setDisplayNameBytes(ByteString) - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder: Display name for viewing in TensorBoard.
setDmaOk(boolean) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: If true, use an out-of-band DMA mechanism to transfer the received tensor.
setDoCommonSubexpressionElimination(boolean) - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder: If true, optimize the graph using common subexpression elimination.
setDoConstantFolding(boolean) - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder: If true, perform constant folding optimization on the graph.
setDoFunctionInlining(boolean) - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder: If true, perform function inlining on the graph.
setDoubleVal(int, double) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_DOUBLE.
setDstDevice(String) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: string dst_device = 9;
setDstDeviceBytes(ByteString) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: string dst_device = 9;
setDtype(DataType) - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
setDtype(DataType) - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
setDtype(DataType) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.DataType dtype = 4;
setDtype(DataType) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: .tensorflow.DataType dtype = 5;
setDtype(DataType) - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
setDtype(DataType) - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
setDtype(DataType) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder: .tensorflow.DataType dtype = 1;
setDtype(DataType) - 类中的方法org.tensorflow.framework.TensorDescription.Builder: Data type of tensor elements .tensorflow.DataType dtype = 1;
setDtype(DataType) - 类中的方法org.tensorflow.framework.TensorInfo.Builder: .tensorflow.DataType dtype = 2;
setDtype(DataType) - 类中的方法org.tensorflow.framework.TensorProto.Builder: .tensorflow.DataType dtype = 1;
setDtype(DataType) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: The tensor dtype and shape.
setDtypeValue(int) - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
setDtypeValue(int) - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
setDtypeValue(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.DataType dtype = 4;
setDtypeValue(int) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: .tensorflow.DataType dtype = 5;
setDtypeValue(int) - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
setDtypeValue(int) - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
setDtypeValue(int) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder: .tensorflow.DataType dtype = 1;
setDtypeValue(int) - 类中的方法org.tensorflow.framework.TensorDescription.Builder: Data type of tensor elements .tensorflow.DataType dtype = 1;
setDtypeValue(int) - 类中的方法org.tensorflow.framework.TensorInfo.Builder: .tensorflow.DataType dtype = 2;
setDtypeValue(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: .tensorflow.DataType dtype = 1;
setDtypeValue(int) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: The tensor dtype and shape.
setDuration(double) - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder: Length of the trace to be taken, in seconds.
setEnable(boolean) - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder: bool enable = 1;
setEnableBfloat16Sendrecv(boolean) - 类中的方法org.tensorflow.framework.GraphOptions.Builder: If true, transfer float values between processes as bfloat16.
setEnableOp(int, String) - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
setEnableRecvScheduling(boolean) - 类中的方法org.tensorflow.framework.GraphOptions.Builder: If true, use control flow to schedule the activation of Recv nodes.
setEnableRpcLogging(boolean) - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder: If true, RPC logging will be enabled.
setEncodedAudioString(ByteString) - 类中的方法org.tensorflow.framework.Summary.Audio.Builder: Encoded audio data and its associated RFC 2045 content type (e.g.
setEncodedImageString(ByteString) - 类中的方法org.tensorflow.framework.Summary.Image.Builder: Image data in encoded format.
setEndianness(BundleHeaderProto.Endianness) - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
setEndiannessValue(int) - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
setEndpoint(int, ApiDef.Endpoint) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
setEndpoint(int, ApiDef.Endpoint.Builder) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
setEnqueueOpName(int, String) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: A list of enqueue operations.
setErrorCode(Code) - 类中的方法tensorflow.serving.Status.StatusProto.Builder: Error code.
setErrorCodeValue(int) - 类中的方法tensorflow.serving.Status.StatusProto.Builder: Error code.
setErrorMessage(String) - 类中的方法tensorflow.serving.Status.StatusProto.Builder: Error message.
setErrorMessageBytes(ByteString) - 类中的方法tensorflow.serving.Status.StatusProto.Builder: Error message.
setExampleList(InputOuterClass.ExampleList) - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder: .tensorflow.serving.ExampleList example_list = 1 [lazy = true];
setExampleList(InputOuterClass.ExampleList.Builder) - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder: .tensorflow.serving.ExampleList example_list = 1 [lazy = true];
setExampleList(SerializedInputOuterClass.SerializedExampleList) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder: .tensorflow.serving.internal.SerializedExampleList example_list = 1;
setExampleList(SerializedInputOuterClass.SerializedExampleList.Builder) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder: .tensorflow.serving.internal.SerializedExampleList example_list = 1;
setExampleListWithContext(InputOuterClass.ExampleListWithContext) - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder: .tensorflow.serving.ExampleListWithContext example_list_with_context = 2 [lazy = true];
setExampleListWithContext(InputOuterClass.ExampleListWithContext.Builder) - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder: .tensorflow.serving.ExampleListWithContext example_list_with_context = 2 [lazy = true];
setExampleListWithContext(SerializedInputOuterClass.SerializedExampleListWithContext) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder: .tensorflow.serving.internal.SerializedExampleListWithContext example_list_with_context = 2;
setExampleListWithContext(SerializedInputOuterClass.SerializedExampleListWithContext.Builder) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder: .tensorflow.serving.internal.SerializedExampleListWithContext example_list_with_context = 2;
setExamples(int, Example) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder: repeated .tensorflow.Example examples = 1;
setExamples(int, Example.Builder) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder: repeated .tensorflow.Example examples = 1;
setExamples(int, Example) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: repeated .tensorflow.Example examples = 1;
setExamples(int, Example.Builder) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder: repeated .tensorflow.Example examples = 1;
setExamples(int, ByteString) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder: repeated bytes examples = 1;
setExamples(int, ByteString) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder: repeated bytes examples = 1;
setExclusiveResourceAccess(boolean) - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder: Whether this operation requires exclusive access to its resources, (i.e., no other CriticalSections may request the same resources).
setExecOpts(ExecutorOpts) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Options for this step.
setExecOpts(ExecutorOpts.Builder) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Options for this step.
setExecuteInCriticalSectionName(String) - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder: Name of the critical section handle.
setExecuteInCriticalSectionNameBytes(ByteString) - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder: Name of the critical section handle.
setExecutorName(String) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Executor's name string executor_name = 4;
setExecutorNameBytes(ByteString) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Executor's name string executor_name = 4;
setExecutorType(String) - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT" string executor_type = 3;
setExecutorTypeBytes(ByteString) - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT" string executor_type = 3;
setExperimental(ConfigProto.Experimental) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
setExperimental(ConfigProto.Experimental.Builder) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
setExperimental(GPUOptions.Experimental) - 类中的方法org.tensorflow.framework.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
setExperimental(GPUOptions.Experimental.Builder) - 类中的方法org.tensorflow.framework.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
setExperimental(RunOptions.Experimental) - 类中的方法org.tensorflow.framework.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
setExperimental(RunOptions.Experimental.Builder) - 类中的方法org.tensorflow.framework.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
setExplanation(String) - 类中的方法org.tensorflow.framework.OpDeprecation.Builder: Explanation of why it was deprecated and what to use instead.
setExplanationBytes(ByteString) - 类中的方法org.tensorflow.framework.OpDeprecation.Builder: Explanation of why it was deprecated and what to use instead.
setExtent(int, TensorSliceProto.Extent) - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
setExtent(int, TensorSliceProto.Extent.Builder) - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
setF(float) - 类中的方法org.tensorflow.framework.AttrValue.Builder: "float" float f = 4;
setF(int, float) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(float)" repeated float f = 4 [packed = true];
setFailIfZeroVersionsAtStartup(boolean) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: If true, then FileSystemStoragePathSource::Create() and ::UpdateConfig() fail if, for any configured servables, the file system doesn't currently contain at least one version under the base path.
setFeature(int, Feature) - 类中的方法org.tensorflow.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
setFeature(int, Feature.Builder) - 类中的方法org.tensorflow.example.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
setFeatureLists(FeatureLists) - 类中的方法org.tensorflow.example.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
setFeatureLists(FeatureLists.Builder) - 类中的方法org.tensorflow.example.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
setFeatures(Features) - 类中的方法org.tensorflow.example.Example.Builder: .tensorflow.Features features = 1;
setFeatures(Features.Builder) - 类中的方法org.tensorflow.example.Example.Builder: .tensorflow.Features features = 1;
setFeed(int, String) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Tensors to be fed in future steps.
setFeed(int, TensorProto) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
setFeed(int, TensorProto.Builder) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
setFeed(int, NamedTensorProto) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Tensors to be fed in the step.
setFeed(int, NamedTensorProto.Builder) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Tensors to be fed in the step.
setFeed(int, String) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be fed in the callable.
setFeed(int, NamedTensorProto) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Tensors to be fed in the step.
setFeed(int, NamedTensorProto.Builder) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Tensors to be fed in the step.
setFetch(int, String) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Fetches.
setFetch(int, TensorProto) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
setFetch(int, TensorProto.Builder) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
setFetch(int, String) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Fetches.
setFetch(int, String) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Fetches.
setFetch(int, String) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Fetches.
setFetchSkipSync(boolean) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: By default, RunCallable() will synchronize the GPU stream before returning fetched tensors on a GPU device, to ensure that the values in those tensors have been produced.
setFetchStepId(int, long) - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder: When set, requests all saved log data pertaining to the step.
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CleanupAllResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CloseSessionResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.GetStatusRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.JobDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.ResetResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.ServerDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.StepSequence.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.distruntime.TracingResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.BytesList.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.Example.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.Feature.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.FeatureList.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.FeatureLists.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.Features.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.FloatList.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.Int64List.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.SequenceExample.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.AllocationDescription.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.AllocationRecord.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ApiDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ApiDefs.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.AssetFileDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.AttrValue.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CallableOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CollectionDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CondContextDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ConfigProto.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CostGraphDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.DebugOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.DeviceLocality.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.FunctionDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GPUOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GradientDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GraphDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GraphOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.HistogramProto.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.InterconnectLink.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.KernelDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.KernelList.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.LocalLinks.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.MemoryStats.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.NameAttrList.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.NodeDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.NodeOutput.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.OpDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.OpDeprecation.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.OpList.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.RPCOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.RunMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.RunOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.RunOptions.Experimental.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.SavedModel.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.SignatureDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.StepStats.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.Summary.Audio.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.Summary.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.Summary.Image.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.Summary.Value.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.SummaryDescription.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.TensorConnection.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.TensorDescription.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.TensorInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.TensorProto.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.ValuesDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.VariableDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.VersionDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法org.tensorflow.util.SaverDef.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Classification.Class.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Classification.Classifications.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Model.ModelSpec.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.serving.Status.StatusProto.Builder
setField(Descriptors.FieldDescriptor, Object) - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder
setFilename(String) - 类中的方法org.tensorflow.framework.AssetFileDef.Builder: The filename within an assets directory.
setFilenameBytes(ByteString) - 类中的方法org.tensorflow.framework.AssetFileDef.Builder: The filename within an assets directory.
setFilenamePrefix(String) - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder: The prefix to use for the filenames of the logs.
setFilenamePrefixBytes(ByteString) - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder: The prefix to use for the filenames of the logs.
setFilenameTensorName(String) - 类中的方法org.tensorflow.util.SaverDef.Builder: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
setFilenameTensorNameBytes(ByteString) - 类中的方法org.tensorflow.util.SaverDef.Builder: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
setFilePath(String) - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: Path to the source code file.
setFilePathBytes(ByteString) - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: Path to the source code file.
setFileSystemPollWaitSeconds(long) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: How long to wait between file-system polling to look for children of 'base_path', in seconds.
setFixedLenFeature(FixedLenFeatureProto) - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
setFixedLenFeature(FixedLenFeatureProto.Builder) - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
setFloatList(FloatList) - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.FloatList float_list = 2;
setFloatList(FloatList.Builder) - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.FloatList float_list = 2;
setFloatList(CollectionDef.FloatList) - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
setFloatList(CollectionDef.FloatList.Builder) - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
setFloatVal(int, float) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_FLOAT.
setForceGpuCompatible(boolean) - 类中的方法org.tensorflow.framework.GPUOptions.Builder: Force all tensors to be gpu_compatible.
setFrequency(long) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Core Frequency in Mhz int64 frequency = 4;
setFromTensor(String) - 类中的方法org.tensorflow.framework.TensorConnection.Builder: A tensor name.
setFromTensorBytes(ByteString) - 类中的方法org.tensorflow.framework.TensorConnection.Builder: A tensor name.
setFullName(String) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Name of the full variable of which this is a slice.
setFullName(String) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder: The full name of the variable/tensor, if applicable.
setFullNameBytes(ByteString) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Name of the full variable of which this is a slice.
setFullNameBytes(ByteString) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder: The full name of the variable/tensor, if applicable.
setFullShape(int, long) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Shape of the full variable.
setFunc(NameAttrList) - 类中的方法org.tensorflow.framework.AttrValue.Builder: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
setFunc(NameAttrList.Builder) - 类中的方法org.tensorflow.framework.AttrValue.Builder: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
setFunc(int, NameAttrList) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
setFunc(int, NameAttrList.Builder) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(attr)" repeated .tensorflow.NameAttrList func = 9;
setFunction(int, FunctionDef) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
setFunction(int, FunctionDef.Builder) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
setFunctionDef(FunctionDef) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder: .tensorflow.FunctionDef function_def = 2;
setFunctionDef(FunctionDef.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder: .tensorflow.FunctionDef function_def = 2;
setFunctionName(String) - 类中的方法org.tensorflow.framework.GradientDef.Builder: The function name.
setFunctionNameBytes(ByteString) - 类中的方法org.tensorflow.framework.GradientDef.Builder: The function name.
setFunctionOptimization(RewriterConfig.Toggle) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Function optimizations (default is ON).
setFunctionOptimizationValue(int) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Function optimizations (default is ON).
setGlobalJitLevel(OptimizerOptions.GlobalJitLevel) - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
setGlobalJitLevelValue(int) - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
setGlobalName(String) - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder: The global name of the threadpool.
setGlobalNameBytes(ByteString) - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder: The global name of the threadpool.
setGlobalStep(long) - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Caller-specified global step count.
setGpuOptions(GPUOptions) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply to all GPUs.
setGpuOptions(GPUOptions.Builder) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply to all GPUs.
setGradient(int, GradientDef) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
setGradient(int, GradientDef.Builder) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
setGradientFunc(String) - 类中的方法org.tensorflow.framework.GradientDef.Builder: The gradient function's name.
setGradientFuncBytes(ByteString) - 类中的方法org.tensorflow.framework.GradientDef.Builder: The gradient function's name.
setGraphDef(GraphDef) - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder: The initial graph definition.
setGraphDef(GraphDef.Builder) - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder: The initial graph definition.
setGraphDef(GraphDef) - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder: REQUIRED: The nodes to be added to the session's graph.
setGraphDef(GraphDef.Builder) - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder: REQUIRED: The nodes to be added to the session's graph.
setGraphDef(GraphDef) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: "graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.
setGraphDef(GraphDef.Builder) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: "graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.
setGraphDef(GraphDef) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: GraphDef.
setGraphDef(GraphDef.Builder) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: GraphDef.
setGraphHandle(String) - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder: REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.
setGraphHandle(String) - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder: If the registration succeeds, returns an opaque graph_handle to the master.
setGraphHandle(String) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.
setGraphHandleBytes(ByteString) - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder: REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.
setGraphHandleBytes(ByteString) - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder: If the registration succeeds, returns an opaque graph_handle to the master.
setGraphHandleBytes(ByteString) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.
setGraphInputNodeInfo(int, GraphTransferGraphInputNodeInfo) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
setGraphInputNodeInfo(int, GraphTransferGraphInputNodeInfo.Builder) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
setGraphInputNodeName(int, String) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Remote fused graph input node name repeated string graph_input_node_name = 2;
setGraphKey(int, long) - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder: repeated int64 graph_key = 1;
setGraphKey(long) - 类中的方法org.tensorflow.distruntime.StepSequence.Builder: int64 graph_key = 1;
setGraphOpName(String) - 类中的方法org.tensorflow.framework.ApiDef.Builder: Name of the op (in the OpDef) to specify the API for.
setGraphOpNameBytes(ByteString) - 类中的方法org.tensorflow.framework.ApiDef.Builder: Name of the op (in the OpDef) to specify the API for.
setGraphOptions(GraphOptions) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Configuration options for the session in which this graph was created.
setGraphOptions(GraphOptions.Builder) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Configuration options for the session in which this graph was created.
setGraphOptions(GraphOptions) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply to all graphs.
setGraphOptions(GraphOptions.Builder) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply to all graphs.
setGraphOutputNodeInfo(int, GraphTransferGraphOutputNodeInfo) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
setGraphOutputNodeInfo(int, GraphTransferGraphOutputNodeInfo.Builder) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
setGraphOutputNodeName(int, String) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Remote fused graph output node name repeated string graph_output_node_name = 3;
setGraphVersion(long) - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder: The initial version number for the graph, to be used in the next call to ExtendSession.
setGroupKey(int) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder: int32 group_key = 1;
setGroupKey(int) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: int32 group_key = 1;
setGroupKey(int) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: int32 group_key = 5;
setGroupSize(int) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder: int32 group_size = 2;
setGroupSize(int) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: int32 group_size = 2;
setGroupSize(int) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: int32 group_size = 6;
setHalfVal(int, int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_HALF, DT_BFLOAT16.
setHandle(long) - 类中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder: A handle to the created callable.
setHandle(long) - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder: REQUIRED: handle must be returned by a MakeCallable call to the same master service.
setHandle(long) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: REQUIRED: handle must be returned by a MakeCallable call to the same master service.
setHandle(String) - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder: Handle describing the feeds and fetches of the step.
setHandleBytes(ByteString) - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder: Handle describing the feeds and fetches of the step.
setHandleToDecref(EagerServiceOuterClass.RemoteTensorHandle) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder: .tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
setHandleToDecref(EagerServiceOuterClass.RemoteTensorHandle.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder: .tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
setHasControlFlow(boolean) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: 已过时。
setHashCode(long) - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: Hash code for the type of the resource.
setHasMinimum(boolean) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: For type == "int", this is a minimum value.
setHasSingleReference(boolean) - 类中的方法org.tensorflow.framework.AllocationDescription.Builder: Set if this tensor only has one remaining reference bool has_single_reference = 5;
setHeight(int) - 类中的方法org.tensorflow.framework.Summary.Image.Builder: Dimensions of the image.
setHisto(HistogramProto) - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
setHisto(HistogramProto.Builder) - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
setHost(String) - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: The host name on which a source code file is located.
setHostBytes(ByteString) - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: The host name on which a source code file is located.
setHostMemoryArg(int, String) - 类中的方法org.tensorflow.framework.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
setHostTempMemorySize(long) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: 已过时。
setI(long) - 类中的方法org.tensorflow.framework.AttrValue.Builder: "int" int64 i = 3;
setI(int, long) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(int)" repeated int64 i = 3 [packed = true];
setId(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: The id of the node.
setId(long) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: A unique identifier for the operation.
setImage(Summary.Image) - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
setImage(Summary.Image.Builder) - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
setInaccurate(boolean) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Are the costs inaccurate?
setInArg(int, ApiDef.Arg) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
setInArg(int, ApiDef.Arg.Builder) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
setIncarnation(long) - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: A device is assigned a global unique number each time it is initialized.
setIndex(int) - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder: Index of the output being set.
setIndicesOutputTensorName(String) - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder: string indices_output_tensor_name = 3;
setIndicesOutputTensorNameBytes(ByteString) - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder: string indices_output_tensor_name = 3;
setIndicesTensorName(String) - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder: The indices Tensor must have dtype int64 and shape [?
setIndicesTensorNameBytes(ByteString) - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder: The indices Tensor must have dtype int64 and shape [?
setInferShapes(boolean) - 类中的方法org.tensorflow.framework.GraphOptions.Builder: Annotate each Node with Op output shape data, to the extent it can be statically inferred.
setInitializerName(String) - 类中的方法org.tensorflow.framework.VariableDef.Builder: Name of the initializer op.
setInitializerNameBytes(ByteString) - 类中的方法org.tensorflow.framework.VariableDef.Builder: Name of the initializer op.
setInitialValueName(String) - 类中的方法org.tensorflow.framework.VariableDef.Builder: Name of the tensor holding the variable's initial value.
setInitialValueNameBytes(ByteString) - 类中的方法org.tensorflow.framework.VariableDef.Builder: Name of the tensor holding the variable's initial value.
setInput(int, String) - 类中的方法org.tensorflow.framework.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
setInput(InputOuterClass.Input) - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder: Input data.
setInput(InputOuterClass.Input.Builder) - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder: Input data.
setInput(InputOuterClass.Input) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Input data.
setInput(InputOuterClass.Input.Builder) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Input data.
setInput(InputOuterClass.Input) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder: Input data.
setInput(InputOuterClass.Input.Builder) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder: Input data.
setInputArg(int, OpDef.ArgDef) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the input(s).
setInputArg(int, OpDef.ArgDef.Builder) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the input(s).
setInputCount(int) - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: int32 input_count = 6;
setInputInfo(int, CostGraphDef.Node.InputInfo) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
setInputInfo(int, CostGraphDef.Node.InputInfo.Builder) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
setInputs(int, EagerServiceOuterClass.RemoteTensorHandle) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
setInputs(int, EagerServiceOuterClass.RemoteTensorHandle.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
setInstanceKey(int) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: int32 instance_key = 7;
setInstanceKey(int) - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder: int32 instance_key = 1;
setInt64List(Int64List) - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.Int64List int64_list = 3;
setInt64List(Int64List.Builder) - 类中的方法org.tensorflow.example.Feature.Builder: .tensorflow.Int64List int64_list = 3;
setInt64List(CollectionDef.Int64List) - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
setInt64List(CollectionDef.Int64List.Builder) - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
setInt64Val(int, long) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_INT64 repeated int64 int64_val = 10 [packed = true];
setInterOpParallelismThreads(int) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process. 0 means the system picks an appropriate number.
setInterOpThreadPool(int) - 类中的方法org.tensorflow.framework.RunOptions.Builder: The thread pool to use, if session_inter_op_thread_pool is configured.
setIntraOpParallelismThreads(int) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads. 0 means the system picks an appropriate number.
setIntVal(int, int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
setIsAggregate(boolean) - 类中的方法org.tensorflow.framework.OpDef.Builder: If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
setIsCommutative(boolean) - 类中的方法org.tensorflow.framework.OpDef.Builder: True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18;
setIsDead(boolean) - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder: True if value is 'dead' like a tensor.
setIsDead(boolean) - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder: If true, this tensor was the output of a dead node, and the content is invalid.
setIsFinal(boolean) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: If true, the output is permanent: it can't be discarded, because this node is part of the "final output".
setIsLastPartialRun(boolean) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: True if this is the last partial run request in a sequence of requests.
setIsolateSessionState(boolean) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder: If true, any resources such as Variables used in the session will not be shared with other sessions.
setIsolateSessionState(boolean) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: If true, any resources such as Variables used in the session will not be shared with other sessions.
setIsPartial(boolean) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: True if the RunGraphRequest is a partial run request.
setIsRef(boolean) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: For inputs: if true, the inputs are required to be refs.
setIsResource(boolean) - 类中的方法org.tensorflow.framework.VariableDef.Builder: Whether to represent this as a ResourceVariable.
setIsSource(boolean) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: bool is_source = 11;
setIsStateful(boolean) - 类中的方法org.tensorflow.framework.OpDef.Builder: Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g. variable reading op) or if they have a side-effect (e.g. printing or asserting ops).
setJob(int, JobDef) - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
setJob(int, JobDef.Builder) - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder: The jobs that comprise the cluster.
setJobName(String) - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The name of the job of which this server is a member.
setJobNameBytes(ByteString) - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The name of the job of which this server is a member.
setKeepAliveSecs(long) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: Number of seconds to keep the context alive.
setKeepCheckpointEveryNHours(float) - 类中的方法org.tensorflow.util.SaverDef.Builder: How often to keep an additional checkpoint.
setKernel(int, KernelDef) - 类中的方法org.tensorflow.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
setKernel(int, KernelDef.Builder) - 类中的方法org.tensorflow.framework.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
setKernelName(String) - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
setKernelName(String) - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
setKernelNameBytes(ByteString) - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
setKernelNameBytes(ByteString) - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
setKeys(int, String) - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder: Keys for tensors in the VariantTensorDataProto.
setL1CacheSize(long) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: L1 cache size in bytes int64 l1_cache_size = 8;
setL2CacheSize(long) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: L2 cache size in bytes int64 l2_cache_size = 9;
setL3CacheSize(long) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: L3 cache size in bytes int64 l3_cache_size = 10;
setLabel(String) - 类中的方法org.tensorflow.framework.KernelDef.Builder: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
setLabel(String) - 类中的方法tensorflow.serving.Classification.Class.Builder: Label or name of the class.
setLabelBytes(ByteString) - 类中的方法org.tensorflow.framework.KernelDef.Builder: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
setLabelBytes(ByteString) - 类中的方法tensorflow.serving.Classification.Class.Builder: Label or name of the class.
setLastModified(long) - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: The timestamp at which the source code file is last modified.
setLatest(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest latest = 100;
setLatest(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest latest = 100;
setLayoutOptimizer(RewriterConfig.Toggle) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Optimize tensor layouts (default is ON) e.g.
setLayoutOptimizerValue(int) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Optimize tensor layouts (default is ON) e.g.
setLength(long) - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder: int64 length = 2;
setLengthFrames(long) - 类中的方法org.tensorflow.framework.Summary.Audio.Builder: Length of the audio in frames (samples per channel).
setLibrary(FunctionDefLibrary) - 类中的方法org.tensorflow.framework.GraphDef.Builder: EXPERIMENTAL.
setLibrary(FunctionDefLibrary.Builder) - 类中的方法org.tensorflow.framework.GraphDef.Builder: EXPERIMENTAL.
setLines(int, String) - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
setLink(int, InterconnectLink) - 类中的方法org.tensorflow.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
setLink(int, InterconnectLink.Builder) - 类中的方法org.tensorflow.framework.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
setLinks(LocalLinks) - 类中的方法org.tensorflow.framework.DeviceLocality.Builder: Optional local interconnect links to other devices.
setLinks(LocalLinks.Builder) - 类中的方法org.tensorflow.framework.DeviceLocality.Builder: Optional local interconnect links to other devices.
setList(AttrValue.ListValue) - 类中的方法org.tensorflow.framework.AttrValue.Builder: any "list(...)"
setList(AttrValue.ListValue.Builder) - 类中的方法org.tensorflow.framework.AttrValue.Builder: any "list(...)"
setLiveBytes(long) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: The bytes that are not deallocated.
setLocalDevice(int, DeviceAttributes) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes local_device = 1;
setLocalDevice(int, DeviceAttributes.Builder) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes local_device = 1;
setLocality(DeviceLocality) - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
setLocality(DeviceLocality.Builder) - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
setLocalName(String) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder: A user-provided name for the edge.
setLocalNameBytes(ByteString) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder: A user-provided name for the edge.
setLogCollectorConfig(LogCollectorConfigOuterClass.LogCollectorConfig) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder: .tensorflow.serving.LogCollectorConfig log_collector_config = 1;
setLogCollectorConfig(LogCollectorConfigOuterClass.LogCollectorConfig.Builder) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder: .tensorflow.serving.LogCollectorConfig log_collector_config = 1;
setLogDevicePlacement(boolean) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Whether device placements should be logged.
setLoggingConfig(LoggingConfigOuterClass.LoggingConfig) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Configures logging requests and responses, to the model.
setLoggingConfig(LoggingConfigOuterClass.LoggingConfig.Builder) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Configures logging requests and responses, to the model.
setLogMetadata(Logging.LogMetadata) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.LogMetadata log_metadata = 1;
setLogMetadata(Logging.LogMetadata.Builder) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.LogMetadata log_metadata = 1;
setLoopEnterNames(int, String) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: List of names for enter tensors.
setLoopExitNames(int, String) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: List of names for exit tensors.
setLoopOptimization(RewriterConfig.Toggle) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Loop optimizations (default is ON).
setLoopOptimizationValue(int) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Loop optimizations (default is ON).
setMax(double) - 类中的方法org.tensorflow.framework.HistogramProto.Builder: double max = 2;
setMaxByteSize(int, int) - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder: repeated int32 max_byte_size = 2;
setMaxFoldedConstantInBytes(long) - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder: Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
setMaximumIterationsName(String) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Optional name of the maximum_iterations tensor.
setMaximumIterationsNameBytes(ByteString) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Optional name of the maximum_iterations tensor.
setMaxToKeep(int) - 类中的方法org.tensorflow.util.SaverDef.Builder: Maximum number of checkpoints to keep.
setMaybeTypeName(String) - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: For debug-only, the name of the type pointed to by this handle, if available.
setMaybeTypeNameBytes(ByteString) - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: For debug-only, the name of the type pointed to by this handle, if available.
setMemory(int, AllocatorMemoryUsed) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
setMemory(int, AllocatorMemoryUsed.Builder) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
setMemoryLimit(long) - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: Memory capacity of device in bytes.
setMemoryLimitMb(int, float) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder: Per "virtual" device memory limit, in MB.
setMemoryOptimization(RewriterConfig.MemOptType) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Configures memory optimization passes through the meta-optimizer.
setMemoryOptimizationValue(int) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Configures memory optimization passes through the meta-optimizer.
setMemoryOptimizerTargetNodeNameScope(String) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: A node name scope for node names which are valid outputs of recompuations.
setMemoryOptimizerTargetNodeNameScopeBytes(ByteString) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: A node name scope for node names which are valid outputs of recompuations.
setMemorySize(long) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Memory size in bytes int64 memory_size = 12;
setMemoryStats(MemoryStats) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
setMemoryStats(MemoryStats.Builder) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
setMemoryTime(long) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Analytical estimate of the memory access cost of this node, in microseconds.
setMetadata(RunMetadata) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Returned metadata if requested in the options.
setMetadata(RunMetadata.Builder) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder: Returned metadata if requested in the options.
setMetadata(RunMetadata) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: Returned metadata if requested in the options.
setMetadata(RunMetadata.Builder) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: Returned metadata if requested in the options.
setMetadata(SummaryMetadata) - 类中的方法org.tensorflow.framework.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
setMetadata(SummaryMetadata.Builder) - 类中的方法org.tensorflow.framework.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
setMetadata(ByteString) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Portions of the object that are not Tensors.
setMetadata(RunMetadata) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: Returned metadata if requested in the options.
setMetadata(RunMetadata.Builder) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: Returned metadata if requested in the options.
setMetadataField(int, String) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder: Metadata fields to get.
setMetaGraphs(int, MetaGraphDef) - 类中的方法org.tensorflow.framework.SavedModel.Builder: One or more MetaGraphs.
setMetaGraphs(int, MetaGraphDef.Builder) - 类中的方法org.tensorflow.framework.SavedModel.Builder: One or more MetaGraphs.
setMetaGraphVersion(String) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: User specified Version string.
setMetaGraphVersionBytes(ByteString) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: User specified Version string.
setMetaInfoDef(MetaGraphDef.MetaInfoDef) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
setMetaInfoDef(MetaGraphDef.MetaInfoDef.Builder) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
setMetaOptimizerIterations(RewriterConfig.NumIterationsType) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Controls how many times we run the optimizers in meta optimizer (default is once).
setMetaOptimizerIterationsValue(int) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Controls how many times we run the optimizers in meta optimizer (default is once).
setMethodName(String) - 类中的方法org.tensorflow.framework.SignatureDef.Builder: Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.
setMethodName(String) - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder: Signature's method_name.
setMethodNameBytes(ByteString) - 类中的方法org.tensorflow.framework.SignatureDef.Builder: Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.
setMethodNameBytes(ByteString) - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder: Signature's method_name.
setMin(double) - 类中的方法org.tensorflow.framework.HistogramProto.Builder: double min = 1;
setMinConsumer(int) - 类中的方法org.tensorflow.framework.VersionDef.Builder: Any consumer below this version is not allowed to consume this data.
setMinGraphNodes(int) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: The minimum number of nodes in a graph to optimizer.
setMinimum(long) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: int64 minimum = 6;
setModel(String) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Model (Haswell, K40, ...)
setModelBytes(ByteString) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Model (Haswell, K40, ...)
setModelConfigList(ModelServerConfigOuterClass.ModelConfigList) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder: .tensorflow.serving.ModelConfigList model_config_list = 1;
setModelConfigList(ModelServerConfigOuterClass.ModelConfigList.Builder) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder: .tensorflow.serving.ModelConfigList model_config_list = 1;
setModelPlatform(String) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Type of model (e.g.
setModelPlatformBytes(ByteString) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Type of model (e.g.
setModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder: Model Specification.
setModelSpec(Model.ModelSpec.Builder) - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder: Model Specification.
setModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder: Effective Model Specification used for classification.
setModelSpec(Model.ModelSpec.Builder) - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder: Effective Model Specification used for classification.
setModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder: Model Specification indicating which model we are querying for metadata.
setModelSpec(Model.ModelSpec.Builder) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder: Model Specification indicating which model we are querying for metadata.
setModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder: Model Specification indicating which model this metadata belongs to.
setModelSpec(Model.ModelSpec.Builder) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder: Model Specification indicating which model this metadata belongs to.
setModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder: Model Specification.
setModelSpec(Model.ModelSpec.Builder) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder: Model Specification.
setModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.ModelSpec model_spec = 1;
setModelSpec(Model.ModelSpec.Builder) - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.ModelSpec model_spec = 1;
setModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder: Model Specification.
setModelSpec(Model.ModelSpec.Builder) - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder: Model Specification.
setModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder: .tensorflow.serving.ModelSpec model_spec = 1;
setModelSpec(Model.ModelSpec.Builder) - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder: .tensorflow.serving.ModelSpec model_spec = 1;
setModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Model Specification.
setModelSpec(Model.ModelSpec.Builder) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Model Specification.
setModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder: Effective Model Specification used to process PredictRequest.
setModelSpec(Model.ModelSpec.Builder) - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder: Effective Model Specification used to process PredictRequest.
setModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder: Model Specification.
setModelSpec(Model.ModelSpec.Builder) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder: Model Specification.
setModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder: Effective Model Specification used for regression.
setModelSpec(Model.ModelSpec.Builder) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder: Effective Model Specification used for regression.
setModelSpec(Model.ModelSpec) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Model Specification.
setModelSpec(Model.ModelSpec.Builder) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Model Specification.
setModelType(ModelServerConfigOuterClass.ModelType) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: 已过时。
setModelTypeValue(int) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: 已过时。
setModelVersionPolicy(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Version policy for the model indicating which version(s) of the model to load and make available for serving simultaneously.
setModelVersionPolicy(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Version policy for the model indicating which version(s) of the model to load and make available for serving simultaneously.
setModelVersionStatus(int, GetModelStatus.ModelVersionStatus) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder: Version number and status information for applicable model version(s).
setModelVersionStatus(int, GetModelStatus.ModelVersionStatus.Builder) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder: Version number and status information for applicable model version(s).
setMultiInferenceLog(PredictionLogOuterClass.MultiInferenceLog) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.MultiInferenceLog multi_inference_log = 4;
setMultiInferenceLog(PredictionLogOuterClass.MultiInferenceLog.Builder) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.MultiInferenceLog multi_inference_log = 4;
setName(String) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: string name = 1;
setName(String) - 类中的方法org.tensorflow.distruntime.JobDef.Builder: The name of this job.
setName(String) - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder: string name = 1;
setName(String) - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: string name = 1;
setName(String) - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
setName(String) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: The name of the node.
setName(String) - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: Fully specified name of the device within a cluster.
setName(String) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: string name = 1;
setName(String) - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder: string name = 1;
setName(String) - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder: string name = 1;
setName(String) - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: string name = 1;
setName(String) - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder: Name of an attr from the Op.
setName(String) - 类中的方法org.tensorflow.framework.NameAttrList.Builder: string name = 1;
setName(String) - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder: Name of the tensor.
setName(String) - 类中的方法org.tensorflow.framework.NodeDef.Builder: The name given to this operator.
setName(String) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: Name for the input/output.
setName(String) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: A descriptive name for the argument.
setName(String) - 类中的方法org.tensorflow.framework.OpDef.Builder: Op names starting with an underscore are reserved for internal use.
setName(String) - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: Unique name of this resource.
setName(String) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder: string name = 1;
setName(String) - 类中的方法org.tensorflow.framework.TensorInfo.Builder: For dense `Tensor`s, the name of the tensor in the graph.
setName(String) - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder: Optional name of the tensor dimension.
setName(String) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder: A name for the Tensor.
setName(String) - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder: string name = 1;
setName(String) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: string name = 2;
setName(String) - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: Required servable name.
setName(String) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Name of the model.
setNameBytes(ByteString) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: string name = 1;
setNameBytes(ByteString) - 类中的方法org.tensorflow.distruntime.JobDef.Builder: The name of this job.
setNameBytes(ByteString) - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder: string name = 1;
setNameBytes(ByteString) - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: string name = 1;
setNameBytes(ByteString) - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
setNameBytes(ByteString) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: The name of the node.
setNameBytes(ByteString) - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: Fully specified name of the device within a cluster.
setNameBytes(ByteString) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: string name = 1;
setNameBytes(ByteString) - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder: string name = 1;
setNameBytes(ByteString) - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder: string name = 1;
setNameBytes(ByteString) - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: string name = 1;
setNameBytes(ByteString) - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder: Name of an attr from the Op.
setNameBytes(ByteString) - 类中的方法org.tensorflow.framework.NameAttrList.Builder: string name = 1;
setNameBytes(ByteString) - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder: Name of the tensor.
setNameBytes(ByteString) - 类中的方法org.tensorflow.framework.NodeDef.Builder: The name given to this operator.
setNameBytes(ByteString) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: Name for the input/output.
setNameBytes(ByteString) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: A descriptive name for the argument.
setNameBytes(ByteString) - 类中的方法org.tensorflow.framework.OpDef.Builder: Op names starting with an underscore are reserved for internal use.
setNameBytes(ByteString) - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder: Unique name of this resource.
setNameBytes(ByteString) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder: string name = 1;
setNameBytes(ByteString) - 类中的方法org.tensorflow.framework.TensorInfo.Builder: For dense `Tensor`s, the name of the tensor in the graph.
setNameBytes(ByteString) - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder: Optional name of the tensor dimension.
setNameBytes(ByteString) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder: A name for the Tensor.
setNameBytes(ByteString) - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder: string name = 1;
setNameBytes(ByteString) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder: string name = 2;
setNameBytes(ByteString) - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: Required servable name.
setNameBytes(ByteString) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder: Name of the model.
setNestedContexts(int, ControlFlowContextDef) - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
setNestedContexts(int, ControlFlowContextDef.Builder) - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
setNestedContexts(int, ControlFlowContextDef) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
setNestedContexts(int, ControlFlowContextDef.Builder) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
setNewGraphVersion(long) - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder: The new version number for the extended graph, to be used in the next call to ExtendSession.
setNextStepId(long) - 类中的方法org.tensorflow.distruntime.StepSequence.Builder: int64 next_step_id = 2;
setNode(int, CostGraphDef.Node) - 类中的方法org.tensorflow.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
setNode(int, CostGraphDef.Node.Builder) - 类中的方法org.tensorflow.framework.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
setNode(int, NodeDef) - 类中的方法org.tensorflow.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
setNode(int, NodeDef.Builder) - 类中的方法org.tensorflow.framework.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
setNodeDef(int, NodeDef) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
setNodeDef(int, NodeDef.Builder) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
setNodeId(int) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: int32 node_id = 2;
setNodeId(int) - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: int32 node_id = 2;
setNodeId(int) - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder: int32 node_id = 1;
setNodeId(int) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder: int32 node_id = 1;
setNodeId(int) - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder: int32 node_id = 1;
setNodeId(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder: An index into `CheckpointableObjectGraph.nodes`, indicating the object being referenced.
setNodeInfo(int, GraphTransferNodeInfo) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
setNodeInfo(int, GraphTransferNodeInfo.Builder) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
setNodeInput(int, GraphTransferNodeInput) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
setNodeInput(int, GraphTransferNodeInput.Builder) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
setNodeInputInfo(int, GraphTransferNodeInputInfo) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
setNodeInputInfo(int, GraphTransferNodeInputInfo.Builder) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
setNodeList(CollectionDef.NodeList) - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
setNodeList(CollectionDef.NodeList.Builder) - 类中的方法org.tensorflow.framework.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
setNodeName(String) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: Name of the node to watch.
setNodeName(String) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: TODO(tucker): Use some more compact form of node identity than the full string name.
setNodeName(String) - 类中的方法org.tensorflow.framework.Summary.Value.Builder: This field is deprecated and will not be set.
setNodeNameBytes(ByteString) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: Name of the node to watch.
setNodeNameBytes(ByteString) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: TODO(tucker): Use some more compact form of node identity than the full string name.
setNodeNameBytes(ByteString) - 类中的方法org.tensorflow.framework.Summary.Value.Builder: This field is deprecated and will not be set.
setNodeOutputInfo(int, GraphTransferNodeOutputInfo) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
setNodeOutputInfo(int, GraphTransferNodeOutputInfo.Builder) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
setNodes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
setNodes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder: repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
setNodeStats(int, NodeExecStats) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
setNodeStats(int, NodeExecStats.Builder) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
setNum(double) - 类中的方法org.tensorflow.framework.HistogramProto.Builder: double num = 3;
setNumaNode(int) - 类中的方法org.tensorflow.framework.DeviceLocality.Builder: Optional NUMA locality of device.
setNumberAttr(String) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: if specified, attr must have type "int" string number_attr = 5;
setNumberAttrBytes(ByteString) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: if specified, attr must have type "int" string number_attr = 5;
setNumBytes(long) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Size of value expected, must agree with BufRendezvous entry.
setNumBytes(long) - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder: Byte length of buf_ptr field, if set.
setNumBytes(long) - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder: Number of bytes in the allocation.
setNumChannels(long) - 类中的方法org.tensorflow.framework.Summary.Audio.Builder: Number of channels of audio.
setNumCores(long) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Number of cores int64 num_cores = 5;
setNumDevToDevCopyStreams(int) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: If > 1, the number of device-to-device copy streams to create for each GPUDevice.
setNumRecordsProduced(long) - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder: int64 num_records_produced = 3;
setNumRegisters(long) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Number of registers per core.
setNumReplicas(int) - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder: int32 num_replicas = 2;
setNumShards(int) - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder: Number of data files in the bundle.
setNumTasks(int) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: number of distinct tasks hosting the devices int32 num_tasks = 4;
setNumThreads(int) - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder: The number of threads in the pool. 0 means the system picks a value based on where this option proto is used (see the declaration of the specific field for more info).
setNumVersions(int) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder: Number of latest versions to serve.
setObsoleteOldStyleHistogram(ByteString) - 类中的方法org.tensorflow.framework.Summary.Value.Builder: bytes obsolete_old_style_histogram = 3;
setOffset(long) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: int64 offset = 4;
setOp(int, ApiDef) - 类中的方法org.tensorflow.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
setOp(int, ApiDef.Builder) - 类中的方法org.tensorflow.framework.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
setOp(String) - 类中的方法org.tensorflow.framework.KernelDef.Builder: Must match the name of an Op.
setOp(String) - 类中的方法org.tensorflow.framework.NodeDef.Builder: The operation name.
setOp(int, OpDef) - 类中的方法org.tensorflow.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
setOp(int, OpDef.Builder) - 类中的方法org.tensorflow.framework.OpList.Builder: repeated .tensorflow.OpDef op = 1;
setOpBytes(ByteString) - 类中的方法org.tensorflow.framework.KernelDef.Builder: Must match the name of an Op.
setOpBytes(ByteString) - 类中的方法org.tensorflow.framework.NodeDef.Builder: The operation name.
setOpEndRelMicros(long) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 op_end_rel_micros = 4;
setOpEndRelNanos(long) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 op_end_rel_nanos = 15;
setOperation(String) - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder: Name of the operation making the allocation.
setOperation(String) - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder: Name of the operation making the deallocation.
setOperation(EagerServiceOuterClass.Operation) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder: .tensorflow.eager.Operation operation = 2;
setOperation(EagerServiceOuterClass.Operation.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder: .tensorflow.eager.Operation operation = 2;
setOperationBytes(ByteString) - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder: Name of the operation making the allocation.
setOperationBytes(ByteString) - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder: Name of the operation making the deallocation.
setOperationTimeoutInMs(long) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Global timeout for all blocking operations in this session.
setOpId(long) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder: The ID of the operation that produced this tensor.
setOpId(long) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: All remote tensors are identified by <Op ID, Output num>.
setOpId(int, long) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder: Ids to wait on.
setOpStartRelMicros(long) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 op_start_rel_micros = 3;
setOpStartRelNanos(long) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 op_start_rel_nanos = 14;
setOptimizerOptions(OptimizerOptions) - 类中的方法org.tensorflow.framework.GraphOptions.Builder: Options controlling how graph is optimized.
setOptimizerOptions(OptimizerOptions.Builder) - 类中的方法org.tensorflow.framework.GraphOptions.Builder: Options controlling how graph is optimized.
setOptimizers(int, String) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
setOptions(CallableOptions) - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder: Options that define the behavior of the created callable.
setOptions(CallableOptions.Builder) - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder: Options that define the behavior of the created callable.
setOptions(RunOptions) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Options for the run call.
setOptions(RunOptions.Builder) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Options for the run call.
setOptions(TraceOpts) - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder: .tensorflow.TraceOpts options = 1;
setOptions(TraceOpts.Builder) - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder: .tensorflow.TraceOpts options = 1;
setOptions(RunOptions) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Options for the run call.
setOptions(RunOptions.Builder) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Options for the run call.
setOptLevel(OptimizerOptions.Level) - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder: Overall optimization level.
setOptLevelValue(int) - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder: Overall optimization level.
setOriginalVariableNodeId(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder: An index into `CheckpointableObjectGraph.nodes`, indicating the variable object this slot was created for.
setOutArg(int, ApiDef.Arg) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
setOutArg(int, ApiDef.Arg.Builder) - 类中的方法org.tensorflow.framework.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
setOutput(int, NodeOutput) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
setOutput(int, NodeOutput.Builder) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
setOutputArg(int, OpDef.ArgDef) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the output(s).
setOutputArg(int, OpDef.ArgDef.Builder) - 类中的方法org.tensorflow.framework.OpDef.Builder: Description of the output(s).
setOutputCount(int) - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: int32 output_count = 7;
setOutputFilter(int, String) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder: Output filter.
setOutputInfo(int, CostGraphDef.Node.OutputInfo) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
setOutputInfo(int, CostGraphDef.Node.OutputInfo.Builder) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
setOutputNum(int) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder: The index into the outputs of the operation that produced this tensor.
setOutputPartitionGraphs(boolean) - 类中的方法org.tensorflow.framework.RunOptions.Builder: Whether the partition graph(s) executed by the executor(s) should be outputted via RunMetadata.
setOutputPort(int) - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder: int32 output_port = 2;
setOutputSlot(int) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: Output slot to watch.
setPaddingId(int) - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: int32 padding_id = 5;
setParallelIterations(int) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: The number of iterations allowed to run in parallel.
setPartialRunHandle(String) - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder: The unique handle corresponding to the ongoing partial run call setup by the invocation to PartialRunSetup.
setPartialRunHandle(String) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Partial run handle (optional).
setPartialRunHandleBytes(ByteString) - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder: The unique handle corresponding to the ongoing partial run call setup by the invocation to PartialRunSetup.
setPartialRunHandleBytes(ByteString) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Partial run handle (optional).
setPartitionGraph(int, GraphDef) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: repeated .tensorflow.GraphDef partition_graph = 4;
setPartitionGraph(int, GraphDef.Builder) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: repeated .tensorflow.GraphDef partition_graph = 4;
setPartitionGraphs(int, GraphDef) - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
setPartitionGraphs(int, GraphDef.Builder) - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Graphs of the partitions executed by executors.
setPeakBytes(long) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: int64 peak_bytes = 3;
setPerProcessGpuMemoryFraction(double) - 类中的方法org.tensorflow.framework.GPUOptions.Builder: Fraction of the available GPU memory to allocate for each process. 1 means to allocate all of the GPU memory, 0.5 means the process allocates up to ~50% of the available GPU memory.
setPersistentMemorySize(long) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Persistent memory used by this node.
setPersistentMemorySize(long) - 类中的方法org.tensorflow.framework.MemoryStats.Builder: int64 persistent_memory_size = 3;
setPersistentTensorAllocIds(int, long) - 类中的方法org.tensorflow.framework.MemoryStats.Builder: repeated int64 persistent_tensor_alloc_ids = 5;
setPhysicalDeviceDesc(String) - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: String representation of the physical device that this device maps to.
setPhysicalDeviceDescBytes(ByteString) - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder: String representation of the physical device that this device maps to.
setPivotForBodyName(String) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Name of the pivot_for_body tensor.
setPivotForBodyNameBytes(ByteString) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Name of the pivot_for_body tensor.
setPivotForPredName(String) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Name of the pivot_for_pred tensor.
setPivotForPredNameBytes(ByteString) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Name of the pivot_for_pred tensor.
setPivotName(String) - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Name of the pivot tensor.
setPivotName(String) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Name of the pivot tensor.
setPivotNameBytes(ByteString) - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Name of the pivot tensor.
setPivotNameBytes(ByteString) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Name of the pivot tensor.
setPlaceholder(String) - 类中的方法org.tensorflow.framework.AttrValue.Builder: This is a placeholder only used in nodes defined inside a function.
setPlaceholderBytes(ByteString) - 类中的方法org.tensorflow.framework.AttrValue.Builder: This is a placeholder only used in nodes defined inside a function.
setPlacementPeriod(int) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Assignment of Nodes to Devices is recomputed every placement_period steps until the system warms up (at which point the recomputation typically slows down automatically).
setPlacePrunedGraph(boolean) - 类中的方法org.tensorflow.framework.GraphOptions.Builder: Only place the subgraphs that are run, rather than the entire graph.
setPluginData(SummaryMetadata.PluginData) - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
setPluginData(SummaryMetadata.PluginData.Builder) - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
setPluginName(String) - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder: The name of the plugin this data pertains to.
setPluginNameBytes(ByteString) - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder: The name of the plugin this data pertains to.
setPollingActiveDelayUsecs(int) - 类中的方法org.tensorflow.framework.GPUOptions.Builder: In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.
setPollingInactiveDelayMsecs(int) - 类中的方法org.tensorflow.framework.GPUOptions.Builder: This field is deprecated and ignored.
setPrecedingNode(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder: int32 preceding_node = 1;
setPrecedingPort(int) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder: int32 preceding_port = 2;
setPredictLog(PredictionLogOuterClass.PredictLog) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.PredictLog predict_log = 6;
setPredictLog(PredictionLogOuterClass.PredictLog.Builder) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.PredictLog predict_log = 6;
setPredName(String) - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Name of the pred tensor.
setPredNameBytes(ByteString) - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Name of the pred tensor.
setProducer(int) - 类中的方法org.tensorflow.framework.VersionDef.Builder: The version of the code that produced this data.
setProperties(DevicePropertiesProtos.DeviceProperties) - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
setProperties(DevicePropertiesProtos.DeviceProperties.Builder) - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
setProtocol(String) - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The protocol to be used by this server.
setProtocolBytes(ByteString) - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The protocol to be used by this server.
setPtr(long) - 类中的方法org.tensorflow.framework.AllocationDescription.Builder: Address of the allocation.
setPtr(long) - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder: Address of the allocation.
setQueue(int, EagerServiceOuterClass.QueueItem) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder: repeated .tensorflow.eager.QueueItem queue = 3;
setQueue(int, EagerServiceOuterClass.QueueItem.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder: repeated .tensorflow.eager.QueueItem queue = 3;
setQueueClosedExceptionTypes(int, Code) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
setQueueClosedExceptionTypesValue(int, int) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
setQueueName(String) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: Queue name.
setQueueNameBytes(ByteString) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder: Queue name.
setQueueResponse(int, EagerServiceOuterClass.QueueResponse) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder: A single operation response for every item in the request.
setQueueResponse(int, EagerServiceOuterClass.QueueResponse.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder: A single operation response for every item in the request.
setRecordCosts(boolean) - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder: bool record_costs = 1;
setRecordPartitionGraphs(boolean) - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder: bool record_partition_graphs = 4;
setRecordTimeline(boolean) - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder: bool record_timeline = 3;
setRecv(int, NamedTensorProto) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
setRecv(int, NamedTensorProto.Builder) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
setRecvKey(int, String) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: repeated string recv_key = 4;
setReferencedTensor(int, AllocationDescription) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
setReferencedTensor(int, AllocationDescription.Builder) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
setRegressionResult(RegressionOuterClass.RegressionResult) - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.RegressionResult regression_result = 3;
setRegressionResult(RegressionOuterClass.RegressionResult.Builder) - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder: .tensorflow.serving.RegressionResult regression_result = 3;
setRegressions(int, RegressionOuterClass.Regression) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder: repeated .tensorflow.serving.Regression regressions = 1;
setRegressions(int, RegressionOuterClass.Regression.Builder) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder: repeated .tensorflow.serving.Regression regressions = 1;
setRegressLog(PredictionLogOuterClass.RegressLog) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.RegressLog regress_log = 3;
setRegressLog(PredictionLogOuterClass.RegressLog.Builder) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.RegressLog regress_log = 3;
setRemapping(RewriterConfig.Toggle) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
setRemappingValue(int) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
setRemoteDevice(int, DeviceAttributes) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes remote_device = 2;
setRemoteDevice(int, DeviceAttributes.Builder) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder: repeated .tensorflow.DeviceAttributes remote_device = 2;
setRemoteGraph(GraphDef) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Definition of remote graph .tensorflow.GraphDef remote_graph = 1;
setRemoteGraph(GraphDef.Builder) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Definition of remote graph .tensorflow.GraphDef remote_graph = 1;
setRenameTo(String) - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder: Change the name used to access this arg in the API from what is used in the GraphDef.
setRenameTo(String) - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: Change the name used to access this attr in the API from what is used in the GraphDef.
setRenameToBytes(ByteString) - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder: Change the name used to access this arg in the API from what is used in the GraphDef.
setRenameToBytes(ByteString) - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder: Change the name used to access this attr in the API from what is used in the GraphDef.
setRendezvousId(long) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: This ID will be used for all future communications.
setRendezvousKey(String) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: A key identifying the channel to receive tensors from.
setRendezvousKeyBytes(ByteString) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: A key identifying the channel to receive tensors from.
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.CleanupAllResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.CloseSessionResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.GetStatusRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.JobDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.ResetResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.ServerDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.StepSequence.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.distruntime.TracingResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.example.BytesList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.example.Example.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.example.Feature.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.example.FeatureList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.example.FeatureLists.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.example.Features.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.example.FloatList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.example.Int64List.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.example.SequenceExample.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.AllocationDescription.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.AllocationRecord.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.ApiDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.ApiDefs.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.AssetFileDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.AttrValue.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.CallableOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.CollectionDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.CondContextDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.ConfigProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.CostGraphDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.DebugOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.DeviceLocality.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.FunctionDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.GPUOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.GradientDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.GraphDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.GraphOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.HistogramProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.InterconnectLink.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.KernelDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.KernelList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.LocalLinks.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.MemoryStats.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.NameAttrList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.NodeDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.NodeOutput.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.OpDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.OpDeprecation.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.OpList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.RPCOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.RunMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.RunOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.RunOptions.Experimental.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.SavedModel.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.SignatureDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.StepStats.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.Summary.Audio.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.Summary.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.Summary.Image.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.Summary.Value.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.SummaryDescription.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.TensorConnection.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.TensorDescription.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.TensorInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.TensorProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.ValuesDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.VariableDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.VersionDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法org.tensorflow.util.SaverDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.Classification.Class.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.Classification.Classifications.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.Model.ModelSpec.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.serving.Status.StatusProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder
setReportTensorAllocationsUponOom(boolean) - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder: bool report_tensor_allocations_upon_oom = 5;
setReportTensorAllocationsUponOom(boolean) - 类中的方法org.tensorflow.framework.RunOptions.Builder: When enabled, causes tensor allocation information to be included in the error message when the Run() call fails because the allocator ran out of memory (OOM).
setRequest(Classification.ClassificationRequest) - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder: .tensorflow.serving.ClassificationRequest request = 1;
setRequest(Classification.ClassificationRequest.Builder) - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder: .tensorflow.serving.ClassificationRequest request = 1;
setRequest(Inference.MultiInferenceRequest) - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder: .tensorflow.serving.MultiInferenceRequest request = 1;
setRequest(Inference.MultiInferenceRequest.Builder) - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder: .tensorflow.serving.MultiInferenceRequest request = 1;
setRequest(Predict.PredictRequest) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder: .tensorflow.serving.PredictRequest request = 1;
setRequest(Predict.PredictRequest.Builder) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder: .tensorflow.serving.PredictRequest request = 1;
setRequest(RegressionOuterClass.RegressionRequest) - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder: .tensorflow.serving.RegressionRequest request = 1;
setRequest(RegressionOuterClass.RegressionRequest.Builder) - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder: .tensorflow.serving.RegressionRequest request = 1;
setRequest(SessionServiceOuterClass.SessionRunRequest) - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder: .tensorflow.serving.SessionRunRequest request = 1;
setRequest(SessionServiceOuterClass.SessionRunRequest.Builder) - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder: .tensorflow.serving.SessionRunRequest request = 1;
setRequestedBytes(long) - 类中的方法org.tensorflow.framework.AllocationDescription.Builder: Total number of bytes requested int64 requested_bytes = 1;
setRequestId(long) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Depending on the RPC system in use, it may be necessary to set this id to detect resends of RPCs where the server is not aware that the prior RPC failed.
setRequestId(long) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Unique identifier for this request.
setResetDiskByteUsage(boolean) - 类中的方法org.tensorflow.framework.DebugOptions.Builder: Whether the total disk usage of tfdbg is to be reset to zero in this Session.run call.
setResourceHandleVal(int, ResourceHandleProto) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
setResourceHandleVal(int, ResourceHandleProto.Builder) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
setResponse(Classification.ClassificationResponse) - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder: .tensorflow.serving.ClassificationResponse response = 2;
setResponse(Classification.ClassificationResponse.Builder) - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder: .tensorflow.serving.ClassificationResponse response = 2;
setResponse(Inference.MultiInferenceResponse) - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder: .tensorflow.serving.MultiInferenceResponse response = 2;
setResponse(Inference.MultiInferenceResponse.Builder) - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder: .tensorflow.serving.MultiInferenceResponse response = 2;
setResponse(Predict.PredictResponse) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder: .tensorflow.serving.PredictResponse response = 2;
setResponse(Predict.PredictResponse.Builder) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder: .tensorflow.serving.PredictResponse response = 2;
setResponse(RegressionOuterClass.RegressionResponse) - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder: .tensorflow.serving.RegressionResponse response = 2;
setResponse(RegressionOuterClass.RegressionResponse.Builder) - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder: .tensorflow.serving.RegressionResponse response = 2;
setResponse(SessionServiceOuterClass.SessionRunResponse) - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder: .tensorflow.serving.SessionRunResponse response = 2;
setResponse(SessionServiceOuterClass.SessionRunResponse.Builder) - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder: .tensorflow.serving.SessionRunResponse response = 2;
setRestoreOpName(String) - 类中的方法org.tensorflow.util.SaverDef.Builder: The operation to run when restoring a model checkpoint.
setRestoreOpNameBytes(ByteString) - 类中的方法org.tensorflow.util.SaverDef.Builder: The operation to run when restoring a model checkpoint.
setResult(Classification.ClassificationResult) - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder: Result of the classification.
setResult(Classification.ClassificationResult.Builder) - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder: Result of the classification.
setResult(RegressionOuterClass.RegressionResult) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder: .tensorflow.serving.RegressionResult result = 1;
setResult(RegressionOuterClass.RegressionResult.Builder) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder: .tensorflow.serving.RegressionResult result = 1;
setResults(int, Inference.InferenceResult) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
setResults(int, Inference.InferenceResult.Builder) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder: List of results; one for each InferenceTask in the request, returned in the same order as the request.
setRewriteOptions(RewriterConfig) - 类中的方法org.tensorflow.framework.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
setRewriteOptions(RewriterConfig.Builder) - 类中的方法org.tensorflow.framework.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
setRpcOptions(RPCOptions) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
setRpcOptions(RPCOptions.Builder) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
setRunOptions(RunOptions) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Options that will be applied to each run.
setRunOptions(RunOptions.Builder) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Options that will be applied to each run.
setS(ByteString) - 类中的方法org.tensorflow.framework.AttrValue.Builder: "string" bytes s = 2;
setS(int, ByteString) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(string)" repeated bytes s = 2;
setSampleRate(float) - 类中的方法org.tensorflow.framework.Summary.Audio.Builder: Sample rate of the audio in Hz.
setSamplingConfig(LoggingConfigOuterClass.SamplingConfig) - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder: TODO(b/33279154): Add more metadata as mentioned in the bug.
setSamplingConfig(LoggingConfigOuterClass.SamplingConfig.Builder) - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder: TODO(b/33279154): Add more metadata as mentioned in the bug.
setSamplingConfig(LoggingConfigOuterClass.SamplingConfig) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder: .tensorflow.serving.SamplingConfig sampling_config = 2;
setSamplingConfig(LoggingConfigOuterClass.SamplingConfig.Builder) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder: .tensorflow.serving.SamplingConfig sampling_config = 2;
setSamplingRate(double) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder: Requests will be logged uniformly at random with this probability.
setSavedModelSchemaVersion(long) - 类中的方法org.tensorflow.framework.SavedModel.Builder: The schema version of the SavedModel instance.
setSaverDef(SaverDef) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: SaverDef.
setSaverDef(SaverDef.Builder) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder: SaverDef.
setSaveSliceInfoDef(SaveSliceInfoDef) - 类中的方法org.tensorflow.framework.VariableDef.Builder: Support for saving variables as slices of a larger variable.
setSaveSliceInfoDef(SaveSliceInfoDef.Builder) - 类中的方法org.tensorflow.framework.VariableDef.Builder: Support for saving variables as slices of a larger variable.
setSaveTensorName(String) - 类中的方法org.tensorflow.util.SaverDef.Builder: The operation to run when saving a model checkpoint.
setSaveTensorNameBytes(ByteString) - 类中的方法org.tensorflow.util.SaverDef.Builder: The operation to run when saving a model checkpoint.
setScheduledMicros(long) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 scheduled_micros = 9;
setScheduledNanos(long) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: int64 scheduled_nanos = 17;
setScomplexVal(int, float) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
setScopedAllocatorOptimization(RewriterConfig.Toggle) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
setScopedAllocatorOptimizationValue(int) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
setScopedAllocatorOpts(ScopedAllocatorOptions) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
setScopedAllocatorOpts(ScopedAllocatorOptions.Builder) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
setScore(float) - 类中的方法tensorflow.serving.Classification.Class.Builder: Score for this class (e.g., the probability the item belongs to this class).
setSend(int, NamedTensorProto) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Runs the graph.
setSend(int, NamedTensorProto.Builder) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: Runs the graph.
setSendStartMicros(long) - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder: Optional, for timeline.
setSendStartMicros(long) - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder: The time at which tensor was available and started to be returned.
setSerializedExecutorParameters(ByteString) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder: Optional: Parameters given to the executor bytes serialized_executor_parameters = 5;
setServableName(String) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: 已过时。
setServableName(String) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder: The servable name to supply in aspired-versions callback calls.
setServableName(String) - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder: The single servable name, version number and path to supply statically.
setServableNameBytes(ByteString) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: 已过时。
setServableNameBytes(ByteString) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder: The servable name to supply in aspired-versions callback calls.
setServableNameBytes(ByteString) - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder: The single servable name, version number and path to supply statically.
setServables(int, FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: The servables to monitor for new versions, and aspire.
setServables(int, FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder: The servables to monitor for new versions, and aspire.
setServableVersionPolicy(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder: The policy to determines the number of versions of the servable to be served at the same time.
setServableVersionPolicy(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder: The policy to determines the number of versions of the servable to be served at the same time.
setServerCert(String) - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder: public server certificate string server_cert = 2;
setServerCertBytes(ByteString) - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder: public server certificate string server_cert = 2;
setServerDef(ServerDef) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder: Defines the configuration of a TensorFlow worker.
setServerDef(ServerDef.Builder) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder: Defines the configuration of a TensorFlow worker.
setServerDef(ServerDef) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: Identifies the full cluster, and this particular worker's position within.
setServerDef(ServerDef.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: Identifies the full cluster, and this particular worker's position within.
setServerKey(String) - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder: private server key for SSL string server_key = 1;
setServerKeyBytes(ByteString) - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder: private server key for SSL string server_key = 1;
setServerLocality(DeviceLocality) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional information on server-side device locality.
setServerLocality(DeviceLocality.Builder) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional information on server-side device locality.
setServerLocality(DeviceLocality) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information on server-side device locality.
setServerLocality(DeviceLocality.Builder) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information on server-side device locality.
setSessionHandle(String) - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
setSessionHandle(String) - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder: The session handle to be used in subsequent calls for the created session.
setSessionHandle(String) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder: Sessions are identified by a given handle.
setSessionHandle(String) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder: Sessions are identified by a given handle.
setSessionHandle(String) - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder: The session_handle used when registering the graph.
setSessionHandle(String) - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
setSessionHandle(String) - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder: Optional: session_handle must be returned by a CreateSession call to the same master service.
setSessionHandle(String) - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
setSessionHandle(String) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
setSessionHandle(String) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Subgraphs are scoped within one session.
setSessionHandle(String) - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
setSessionHandle(String) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
setSessionHandle(String) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: session_handle is the master-generated unique id for this session.
setSessionHandle(String) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
setSessionHandleBytes(ByteString) - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
setSessionHandleBytes(ByteString) - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder: The session handle to be used in subsequent calls for the created session.
setSessionHandleBytes(ByteString) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder: Sessions are identified by a given handle.
setSessionHandleBytes(ByteString) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder: Sessions are identified by a given handle.
setSessionHandleBytes(ByteString) - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder: The session_handle used when registering the graph.
setSessionHandleBytes(ByteString) - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
setSessionHandleBytes(ByteString) - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder: Optional: session_handle must be returned by a CreateSession call to the same master service.
setSessionHandleBytes(ByteString) - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
setSessionHandleBytes(ByteString) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
setSessionHandleBytes(ByteString) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder: Subgraphs are scoped within one session.
setSessionHandleBytes(ByteString) - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
setSessionHandleBytes(ByteString) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
setSessionHandleBytes(ByteString) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: session_handle is the master-generated unique id for this session.
setSessionHandleBytes(ByteString) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: REQUIRED: session_handle must be returned by a CreateSession call to the same master service.
setSessionInterOpThreadPool(int, ThreadPoolOptionProto) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
setSessionInterOpThreadPool(int, ThreadPoolOptionProto.Builder) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
setSessionRunLog(PredictionLogOuterClass.SessionRunLog) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.SessionRunLog session_run_log = 5;
setSessionRunLog(PredictionLogOuterClass.SessionRunLog.Builder) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder: .tensorflow.serving.SessionRunLog session_run_log = 5;
setShape(TensorShapeProto) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: .tensorflow.TensorShapeProto shape = 4;
setShape(TensorShapeProto.Builder) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: .tensorflow.TensorShapeProto shape = 4;
setShape(TensorShapeProto) - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto.Builder) - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto) - 类中的方法org.tensorflow.framework.AttrValue.Builder: "shape" .tensorflow.TensorShapeProto shape = 7;
setShape(TensorShapeProto.Builder) - 类中的方法org.tensorflow.framework.AttrValue.Builder: "shape" .tensorflow.TensorShapeProto shape = 7;
setShape(int, TensorShapeProto) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
setShape(int, TensorShapeProto.Builder) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
setShape(TensorShapeProto) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
setShape(TensorShapeProto.Builder) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
setShape(int, long) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder: repeated int64 shape = 3;
setShape(int, long) - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder: repeated int64 shape = 2;
setShape(int, long) - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder: repeated int64 shape = 2;
setShape(TensorShapeProto) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto.Builder) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto) - 类中的方法org.tensorflow.framework.TensorDescription.Builder: Shape of the tensor.
setShape(TensorShapeProto.Builder) - 类中的方法org.tensorflow.framework.TensorDescription.Builder: Shape of the tensor.
setShape(TensorShapeProto) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto.Builder) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(int, TensorShapeProto) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder: repeated .tensorflow.TensorShapeProto shape = 1;
setShape(int, TensorShapeProto.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder: repeated .tensorflow.TensorShapeProto shape = 1;
setShapeOptimization(RewriterConfig.Toggle) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Shape optimizations (default is ON) Simplify computations made on shapes.
setShapeOptimizationValue(int) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder: Shape optimizations (default is ON) Simplify computations made on shapes.
setShapesOutputTensorName(String) - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder: string shapes_output_tensor_name = 4;
setShapesOutputTensorNameBytes(ByteString) - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder: string shapes_output_tensor_name = 4;
setSharded(boolean) - 类中的方法org.tensorflow.util.SaverDef.Builder: Shard the save files, one per device that has Variable nodes.
setShardId(int) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
setSharedMemorySizePerMultiprocessor(long) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Shared memory size per multiprocessor in bytes.
setSignature(OpDef) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
setSignature(OpDef.Builder) - 类中的方法org.tensorflow.framework.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
setSignatureName(String) - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: A named signature to evaluate.
setSignatureNameBytes(ByteString) - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: A named signature to evaluate.
setSimpleValue(float) - 类中的方法org.tensorflow.framework.Summary.Value.Builder: float simple_value = 2;
setSize(long) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder: int64 size = 1;
setSize(long) - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder: Size of the tensor in that dimension.
setSize(long) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: int64 size = 5;
setSlices(int, TensorSliceProto) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
setSlices(int, TensorSliceProto.Builder) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
setSlot(int) - 类中的方法org.tensorflow.framework.NodeOutput.Builder: int32 slot = 1;
setSlotName(String) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder: The name of the slot (e.g.
setSlotNameBytes(ByteString) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder: The name of the slot (e.g.
setSlotVariableNodeId(int) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder: An index into `CheckpointableObjectGraph.nodes`, indicating the `Object` with the value of the slot variable.
setSlotVariables(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Slot variables owned by this object.
setSlotVariables(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder: Slot variables owned by this object.
setSnapshotName(String) - 类中的方法org.tensorflow.framework.VariableDef.Builder: Name of the snapshot tensor.
setSnapshotNameBytes(ByteString) - 类中的方法org.tensorflow.framework.VariableDef.Builder: Name of the snapshot tensor.
setSocOpId(int) - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: int32 soc_op_id = 4;
setSourceAdapterConfig(Any) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder: The config proto for a SourceAdapter in the StoragePathSourceAdapter registry.
setSourceAdapterConfig(Any.Builder) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder: The config proto for a SourceAdapter in the StoragePathSourceAdapter registry.
setSourceFiles(int, DebuggedSourceFile) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder: A collection of source code files.
setSourceFiles(int, DebuggedSourceFile.Builder) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder: A collection of source code files.
setSourceRank(int) - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder: int32 source_rank = 2;
setSpecific(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific specific = 102;
setSpecific(FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder: .tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific specific = 102;
setSrcDevice(String) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional, for annotating the timeline.
setSrcDeviceBytes(ByteString) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional, for annotating the timeline.
setStart(long) - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder: Start index of the slice, starting at 0.
setState(GetModelStatus.ModelVersionStatus.State) - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder: Model state.
setStateValue(int) - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder: Model state.
setStatus(Status.StatusProto) - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder: Model status.
setStatus(Status.StatusProto.Builder) - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder: Model status.
setStatus(Status.StatusProto) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder: .tensorflow.serving.StatusProto status = 1;
setStatus(Status.StatusProto.Builder) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder: .tensorflow.serving.StatusProto status = 1;
setStatusCode(Code) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.
setStatusCode(Code) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.
setStatusCodeValue(int) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.
setStatusCodeValue(int) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.
setStatusErrorMessage(String) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: string status_error_message = 6;
setStatusErrorMessage(String) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: string status_error_message = 4;
setStatusErrorMessageBytes(ByteString) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: string status_error_message = 6;
setStatusErrorMessageBytes(ByteString) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: string status_error_message = 4;
setStep(int, LabeledStepStats) - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder: repeated .tensorflow.LabeledStepStats step = 1;
setStep(int, LabeledStepStats.Builder) - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder: repeated .tensorflow.LabeledStepStats step = 1;
setStepId(long) - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder: int64 step_id = 1;
setStepId(long) - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder: int64 step_id = 1;
setStepId(long) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Used at server side to find the correct BufRendezvous.
setStepId(long) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: The step in which the tensor will be produced.
setStepId(long) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: A unique ID to distinguish different runs of the same graph.
setStepId(long) - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder: Process-unique step id.
setStepId(long) - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder: Process-unique step id.
setStepId(long) - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder: Process-unique step id.
setStepId(long) - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder: Process-unique step id.
setStepId(long) - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder: Process-unique step id.
setStepSequence(int, StepSequence) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder: repeated .tensorflow.StepSequence step_sequence = 1;
setStepSequence(int, StepSequence.Builder) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder: repeated .tensorflow.StepSequence step_sequence = 1;
setStepStats(StepStats) - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder: .tensorflow.StepStats step_stats = 2;
setStepStats(StepStats.Builder) - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder: .tensorflow.StepStats step_stats = 2;
setStepStats(StepStats) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.
setStepStats(StepStats.Builder) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder: If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.
setStepStats(StepStats) - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Statistics traced for this step.
setStepStats(StepStats.Builder) - 类中的方法org.tensorflow.framework.RunMetadata.Builder: Statistics traced for this step.
setStoreErrorsInResponseBody(boolean) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder: If true then some errors, e.g., execution errors that have long error messages, may return an OK RunGraphResponse with the actual error saved in the status_code/status_error_message fields of the response body.
setStoreErrorsInResponseBody(boolean) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: If true then some errors, e.g., execution errors that have long error messages, may return an OK RunStepResponse with the actual error saved in the status_code/status_error_message fields of the response body.
setStrength(int) - 类中的方法org.tensorflow.framework.InterconnectLink.Builder: int32 strength = 3;
setStringVal(int, ByteString) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_STRING repeated bytes string_val = 8;
setStrippedDefaultAttrs(boolean) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: A flag to denote whether default-valued attrs have been stripped from the nodes in this graph_def.
setStrippedOpList(OpList) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
setStrippedOpList(OpList.Builder) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
setSubdivOffset(int, int) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: repeated int32 subdiv_offset = 9;
setSum(double) - 类中的方法org.tensorflow.framework.HistogramProto.Builder: double sum = 4;
setSummary(String) - 类中的方法org.tensorflow.framework.ApiDef.Builder: One-line human-readable description of what the Op does.
setSummary(String) - 类中的方法org.tensorflow.framework.OpDef.Builder: One-line human-readable description of what the Op does.
setSummaryBytes(ByteString) - 类中的方法org.tensorflow.framework.ApiDef.Builder: One-line human-readable description of what the Op does.
setSummaryBytes(ByteString) - 类中的方法org.tensorflow.framework.OpDef.Builder: One-line human-readable description of what the Op does.
setSummaryDescription(String) - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder: Longform readable description of the summary sequence.
setSummaryDescriptionBytes(ByteString) - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder: Longform readable description of the summary sequence.
setSumSquares(double) - 类中的方法org.tensorflow.framework.HistogramProto.Builder: double sum_squares = 5;
setSwapMemory(boolean) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Whether GPU-CPU memory swap is enabled for this loop.
setTag(String) - 类中的方法org.tensorflow.framework.Summary.Value.Builder: Tag name for the data.
setTagBytes(ByteString) - 类中的方法org.tensorflow.framework.Summary.Value.Builder: Tag name for the data.
setTags(int, String) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
setTarget(String) - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder: The target string used from the client's perspective.
setTarget(int, String) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder: Target Nodes.
setTarget(int, String) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder: Target Nodes.
setTarget(int, String) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Target Nodes.
setTarget(int, String) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder: Target Nodes.
setTargetBytes(ByteString) - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder: The target string used from the client's perspective.
setTaskIndex(int) - 类中的方法org.tensorflow.distruntime.ServerDef.Builder: The task index of this server in its job.
setTaskName(int, String) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder: task name prefixes of device_names repeated string task_name = 6;
setTasks(int, Inference.InferenceTask) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Inference tasks.
setTasks(int, Inference.InferenceTask.Builder) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder: Inference tasks.
setTempMemorySize(long) - 类中的方法org.tensorflow.framework.MemoryStats.Builder: int64 temp_memory_size = 1;
setTemporaryMemorySize(long) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder: Temporary memory used by this node.
setTensor(TensorProto) - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder: The tensor as a proto.
setTensor(TensorProto.Builder) - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder: The tensor as a proto.
setTensor(int, NamedTensorProto) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
setTensor(int, NamedTensorProto.Builder) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
setTensor(TensorProto) - 类中的方法org.tensorflow.framework.AttrValue.Builder: "tensor" .tensorflow.TensorProto tensor = 8;
setTensor(TensorProto.Builder) - 类中的方法org.tensorflow.framework.AttrValue.Builder: "tensor" .tensorflow.TensorProto tensor = 8;
setTensor(int, TensorProto) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
setTensor(int, TensorProto.Builder) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
setTensor(TensorDescription) - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder: Allocated tensor details.
setTensor(TensorDescription.Builder) - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder: Allocated tensor details.
setTensor(TensorDescription) - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder: Output tensor details.
setTensor(TensorDescription.Builder) - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder: Output tensor details.
setTensor(TensorProto) - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
setTensor(TensorProto.Builder) - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
setTensor(TensorProto) - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
setTensor(TensorProto.Builder) - 类中的方法org.tensorflow.framework.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
setTensor(int, NamedTensorProto) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
setTensor(int, NamedTensorProto.Builder) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder: NOTE: The order of the returned tensors may or may not match the fetch order specified in RunRequest.
setTensorConnection(int, TensorConnection) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be connected in the callable.
setTensorConnection(int, TensorConnection.Builder) - 类中的方法org.tensorflow.framework.CallableOptions.Builder: Tensors to be connected in the callable.
setTensorContent(ByteString) - 类中的方法org.tensorflow.framework.TensorProto.Builder: Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
setTensorContent(ByteString) - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder: bytes tensor_content = 1;
setTensorDescription(TensorDescription) - 类中的方法org.tensorflow.framework.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
setTensorDescription(TensorDescription.Builder) - 类中的方法org.tensorflow.framework.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
setTensorflowGitVersion(String) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: The __git_version__ string of the tensorflow build used to write this graph.
setTensorflowGitVersionBytes(ByteString) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: The __git_version__ string of the tensorflow build used to write this graph.
setTensorflowVersion(String) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: The __version__ string of the tensorflow build used to write this graph.
setTensorflowVersionBytes(ByteString) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder: The __version__ string of the tensorflow build used to write this graph.
setTensorInfo(TensorInfo) - 类中的方法org.tensorflow.framework.AssetFileDef.Builder: The tensor to bind the asset filename to.
setTensorInfo(TensorInfo.Builder) - 类中的方法org.tensorflow.framework.AssetFileDef.Builder: The tensor to bind the asset filename to.
setTensors(int, TensorProto) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
setTensors(int, TensorProto.Builder) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
setTensors(int, TensorProto) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
setTensors(int, TensorProto.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder: The index within the repeated field is the output number that will help uniquely identify (along with the above op_id) the particular tensor.
setTensorShape(TensorShapeProto) - 类中的方法org.tensorflow.framework.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
setTensorShape(TensorShapeProto.Builder) - 类中的方法org.tensorflow.framework.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
setTensorShape(TensorShapeProto) - 类中的方法org.tensorflow.framework.TensorProto.Builder: Shape of the tensor.
setTensorShape(TensorShapeProto.Builder) - 类中的方法org.tensorflow.framework.TensorProto.Builder: Shape of the tensor.
setThreadId(int) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: uint32 thread_id = 10;
setTimelineLabel(String) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: string timeline_label = 8;
setTimelineLabelBytes(ByteString) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder: string timeline_label = 8;
setTimelineStep(int) - 类中的方法org.tensorflow.framework.GraphOptions.Builder: If > 0, record a timeline every this many steps.
setTimeoutInMs(long) - 类中的方法org.tensorflow.framework.RunOptions.Builder: Time to wait for operation to complete in milliseconds.
setTolerateDebugOpCreationFailures(boolean) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder: Do not error out if debug op creation fails (e.g., due to dtype incompatibility).
setTotalBytes(long) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder: These are per-node allocator memory stats.
setToTensor(String) - 类中的方法org.tensorflow.framework.TensorConnection.Builder: A tensor name.
setToTensorBytes(ByteString) - 类中的方法org.tensorflow.framework.TensorConnection.Builder: A tensor name.
setTraceLevel(RunOptions.TraceLevel) - 类中的方法org.tensorflow.framework.RunOptions.Builder: .tensorflow.RunOptions.TraceLevel trace_level = 1;
setTraceLevelValue(int) - 类中的方法org.tensorflow.framework.RunOptions.Builder: .tensorflow.RunOptions.TraceLevel trace_level = 1;
setTrainable(boolean) - 类中的方法org.tensorflow.framework.VariableDef.Builder: Whether this variable should be trained.
setTransportOptions(Any) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional, implementation-specific data.
setTransportOptions(Any.Builder) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder: Optional, implementation-specific data.
setTransportOptions(Any) - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder: Optional, implementation-specific data.
setTransportOptions(Any.Builder) - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder: Optional, implementation-specific data.
setTransportOptions(Any) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information needed by the RPC subsystem.
setTransportOptions(Any.Builder) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder: Optional information needed by the RPC subsystem.
setTransportOptions(Any) - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder: Optional additional information about how to receive the tensor, e.g. in the event that `RecvTensorRequest.dma_ok` was true.
setTransportOptions(Any.Builder) - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder: Optional additional information about how to receive the tensor, e.g. in the event that `RecvTensorRequest.dma_ok` was true.
setType(int) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder: int32 type = 2;
setType(DataType) - 类中的方法org.tensorflow.framework.AttrValue.Builder: "type" .tensorflow.DataType type = 6;
setType(int, DataType) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
setType(String) - 类中的方法org.tensorflow.framework.InterconnectLink.Builder: string type = 2;
setType(DataType) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
setType(String) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
setType(String) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Device type (CPU, GPU, ...)
setType(String) - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder: Identifies the type of the LogCollector we will use to collect these logs.
setTypeAttr(String) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: if specified, attr must have type "type" string type_attr = 4;
setTypeAttrBytes(ByteString) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: if specified, attr must have type "type" string type_attr = 4;
setTypeBytes(ByteString) - 类中的方法org.tensorflow.framework.InterconnectLink.Builder: string type = 2;
setTypeBytes(ByteString) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
setTypeBytes(ByteString) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Device type (CPU, GPU, ...)
setTypeBytes(ByteString) - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder: Identifies the type of the LogCollector we will use to collect these logs.
setTypeHint(String) - 类中的方法org.tensorflow.framework.SummaryDescription.Builder: Hint on how plugins should process the data in this series.
setTypeHintBytes(ByteString) - 类中的方法org.tensorflow.framework.SummaryDescription.Builder: Hint on how plugins should process the data in this series.
setTypeListAttr(String) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
setTypeListAttrBytes(ByteString) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
setTypeName(String) - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: string type_name = 3;
setTypeName(String) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Name of the type of objects being serialized.
setTypeNameBytes(ByteString) - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder: string type_name = 3;
setTypeNameBytes(ByteString) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder: Name of the type of objects being serialized.
setTypeValue(int) - 类中的方法org.tensorflow.framework.AttrValue.Builder: "type" .tensorflow.DataType type = 6;
setTypeValue(int, int) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder: "list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
setTypeValue(int) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
setUint32Val(int, int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
setUint64Val(int, long) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CleanupAllResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CloseSessionResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.ClusterDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.GetStatusRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.JobDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.LoggingRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.LoggingResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.ResetRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.ResetResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RunStepRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.RunStepResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.ServerDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.StepSequence.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.TracingRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.distruntime.TracingResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.BytesList.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.Example.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.Feature.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.FeatureList.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.FeatureLists.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.Features.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.FloatList.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.Int64List.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.SequenceExample.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.AllocationDescription.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.AllocationRecord.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ApiDef.Arg.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ApiDef.Attr.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ApiDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ApiDefs.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.AssetFileDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.AttrValue.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.AutoParallelOptions.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CallableOptions.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CollectionDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CondContextDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ConfigProto.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CostGraphDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CriticalSectionDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.DebugOptions.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.DebugTensorWatch.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.DeviceAttributes.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.DeviceLocality.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.DeviceStepStats.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.FunctionDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GPUOptions.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GradientDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GraphDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GraphOptions.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GraphTransferInfo.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.HistogramProto.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.InterconnectLink.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.KernelDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.KernelList.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.LocalLinks.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.MemoryLogStep.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.MemoryStats.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.MetaGraphDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.NameAttrList.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.NamedTensorProto.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.NodeDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.NodeExecStats.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.NodeOutput.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.OpDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.OpDeprecation.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.OpList.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.OptimizerOptions.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.QueueRunnerDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ResourceHandleProto.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.RewriterConfig.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.RPCOptions.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.RunMetadata.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.RunOptions.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.RunOptions.Experimental.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.SavedModel.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.SignatureDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.StepStats.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.Summary.Audio.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.Summary.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.Summary.Image.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.Summary.Value.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.SummaryDescription.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.SummaryMetadata.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.TensorConnection.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.TensorDescription.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.TensorInfo.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.TensorProto.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.TensorSliceProto.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.ValuesDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.VariableDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.VersionDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.util.BundleEntryProto.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法org.tensorflow.util.SaverDef.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Classification.Class.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Classification.ClassificationResult.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Classification.Classifications.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Inference.InferenceResult.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Inference.InferenceTask.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.InputOuterClass.Input.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Logging.LogMetadata.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Model.ModelSpec.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Predict.PredictRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Predict.PredictResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.serving.Status.StatusProto.Builder
setUnknownFields(UnknownFieldSet) - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder
setUnknownRank(boolean) - 类中的方法org.tensorflow.framework.TensorShapeProto.Builder: If true, the number of dimensions in the shape is unknown.
setUseExtendedProfiler(boolean) - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder: If true, capture extended profiling events from TensorFlow process.
setUseGpuProfiler(boolean) - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder: If true, capture GPU profiling events locally on each machine.
setUseKernelProfiler(boolean) - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder: If true, capture kernel events from each worker.
setUsePerSessionThreads(boolean) - 类中的方法org.tensorflow.framework.ConfigProto.Builder: If true, use a new set of threads for this session rather than the global pool of threads.
setUseRpcForInprocessMaster(boolean) - 类中的方法org.tensorflow.framework.RPCOptions.Builder: If true, always use RPC to contact the session target.
setUseSampleProfiler(boolean) - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder: If true, collect sampled profile events.
setUseStepProfiler(boolean) - 类中的方法org.tensorflow.distruntime.TraceOpts.Builder: If true, capture step profile locally in each worker.
setUseUnifiedMemory(boolean) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: If true, uses CUDA unified memory for memory allocations.
setValue(int, ByteString) - 类中的方法org.tensorflow.example.BytesList.Builder: repeated bytes value = 1;
setValue(int, float) - 类中的方法org.tensorflow.example.FloatList.Builder: repeated float value = 1 [packed = true];
setValue(int, long) - 类中的方法org.tensorflow.example.Int64List.Builder: repeated int64 value = 1 [packed = true];
setValue(int, Any) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
setValue(int, Any.Builder) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
setValue(int, ByteString) - 类中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder: repeated bytes value = 1;
setValue(int, float) - 类中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder: repeated float value = 1 [packed = true];
setValue(int, long) - 类中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder: repeated int64 value = 1 [packed = true];
setValue(int, String) - 类中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder: repeated string value = 1;
setValue(int, Summary.Value) - 类中的方法org.tensorflow.framework.Summary.Builder: Set of values for the summary.
setValue(int, Summary.Value.Builder) - 类中的方法org.tensorflow.framework.Summary.Builder: Set of values for the summary.
setValue(float) - 类中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder: float value = 1;
setValues(int, String) - 类中的方法org.tensorflow.framework.ValuesDef.Builder: Value names that have been seen in this context.
setValuesDef(ValuesDef) - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Values and external values in control flow context.
setValuesDef(ValuesDef.Builder) - 类中的方法org.tensorflow.framework.CondContextDef.Builder: Values and external values in control flow context.
setValuesDef(ValuesDef) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Values and external values in control flow context.
setValuesDef(ValuesDef.Builder) - 类中的方法org.tensorflow.framework.WhileContextDef.Builder: Values and external values in control flow context.
setValuesOutputTensorName(String) - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: string values_output_tensor_name = 4;
setValuesOutputTensorName(String) - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder: string values_output_tensor_name = 2;
setValuesOutputTensorNameBytes(ByteString) - 类中的方法org.tensorflow.example.FixedLenFeatureProto.Builder: string values_output_tensor_name = 4;
setValuesOutputTensorNameBytes(ByteString) - 类中的方法org.tensorflow.example.VarLenFeatureProto.Builder: string values_output_tensor_name = 2;
setValuesTensorName(String) - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder: The shape of the values Tensor is [?].
setValuesTensorNameBytes(ByteString) - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder: The shape of the values Tensor is [?].
setVariableName(String) - 类中的方法org.tensorflow.framework.VariableDef.Builder: Name of the variable tensor.
setVariableNameBytes(ByteString) - 类中的方法org.tensorflow.framework.VariableDef.Builder: Name of the variable tensor.
setVariantVal(int, VariantTensorDataProto) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
setVariantVal(int, VariantTensorDataProto.Builder) - 类中的方法org.tensorflow.framework.TensorProto.Builder: DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
setVarLenFeature(VarLenFeatureProto) - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
setVarLenFeature(VarLenFeatureProto.Builder) - 类中的方法org.tensorflow.example.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
setVarOffset(int, long) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Offset of this variable into the full variable.
setVarShape(int, long) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder: Shape of this variable.
setVendor(String) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Vendor (Intel, nvidia, ...)
setVendorBytes(ByteString) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder: Vendor (Intel, nvidia, ...)
setVersion(int) - 类中的方法org.tensorflow.framework.GraphDef.Builder: 已过时。
setVersion(int) - 类中的方法org.tensorflow.framework.OpDeprecation.Builder: First GraphDef version at which the op is disallowed.
setVersion(VersionDef) - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
setVersion(VersionDef.Builder) - 类中的方法org.tensorflow.util.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
setVersion(String) - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder: A user-specified version string.
setVersion(SaverDef.CheckpointFormatVersion) - 类中的方法org.tensorflow.util.SaverDef.Builder: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
setVersion(long) - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder: Model version.
setVersion(Int64Value) - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: Use this specific version number.
setVersion(Int64Value.Builder) - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: Use this specific version number.
setVersionBytes(ByteString) - 类中的方法org.tensorflow.util.IteratorStateMetadata.Builder: A user-specified version string.
setVersionDef(VersionDef) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: This is the version for all the ops that will be enqueued by the client.
setVersionDef(VersionDef.Builder) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder: This is the version for all the ops that will be enqueued by the client.
setVersionLabel(String) - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: Use the version associated with the given label.
setVersionLabelBytes(ByteString) - 类中的方法tensorflow.serving.Model.ModelSpec.Builder: Use the version associated with the given label.
setVersionNum(long) - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder: int64 version_num = 2;
setVersionNumber(int) - 类中的方法org.tensorflow.framework.TensorProto.Builder: Version number.
setVersionPath(String) - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder: string version_path = 3;
setVersionPathBytes(ByteString) - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder: string version_path = 3;
setVersions(VersionDef) - 类中的方法org.tensorflow.framework.GraphDef.Builder: Compatibility versions of the graph.
setVersions(VersionDef.Builder) - 类中的方法org.tensorflow.framework.GraphDef.Builder: Compatibility versions of the graph.
setVersions(int, long) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder: The version numbers to serve.
setVersionValue(int) - 类中的方法org.tensorflow.util.SaverDef.Builder: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
setVirtualDevices(int, GPUOptions.Experimental.VirtualDevices) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
setVirtualDevices(int, GPUOptions.Experimental.VirtualDevices.Builder) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder: The multi virtual device settings.
setVisibility(ApiDef.Visibility) - 类中的方法org.tensorflow.framework.ApiDef.Builder: .tensorflow.ApiDef.Visibility visibility = 2;
setVisibilityValue(int) - 类中的方法org.tensorflow.framework.ApiDef.Builder: .tensorflow.ApiDef.Visibility visibility = 2;
setVisibleDeviceList(String) - 类中的方法org.tensorflow.framework.GPUOptions.Builder: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
setVisibleDeviceListBytes(ByteString) - 类中的方法org.tensorflow.framework.GPUOptions.Builder: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
setWhileCtxt(WhileContextDef) - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
setWhileCtxt(WhileContextDef.Builder) - 类中的方法org.tensorflow.framework.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
setWidth(int) - 类中的方法org.tensorflow.framework.Summary.Image.Builder: int32 width = 2;
setWorkFinished(long) - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder: int64 work_finished = 2;
setWorkStarted(long) - 类中的方法org.tensorflow.framework.ReaderBaseState.Builder: int64 work_started = 1;
SHAPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteInstanceRequest
SHAPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.FixedLenFeatureProto
SHAPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AttrValue.ListValue
SHAPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AttrValue
SHAPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef.Node.OutputInfo
SHAPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferConstNodeInfo
SHAPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferGraphInputNodeInfo
SHAPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
SHAPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
SHAPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorDescription
SHAPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.util.BundleEntryProto
SHAPE_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.QueueResponse
SHAPE_OPTIMIZATION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RewriterConfig
SHAPES_OUTPUT_TENSOR_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.VarLenFeatureProto
SHARD_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.util.BundleEntryProto
SHARDED_FIELD_NUMBER - 类中的静态变量org.tensorflow.util.SaverDef
SHARED_MEMORY_SIZE_PER_MULTIPROCESSOR_FIELD_NUMBER - 类中的静态变量tensorflow.DevicePropertiesProtos.DeviceProperties
SIGNATURE_DEF_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MetaGraphDef
SIGNATURE_DEF_FIELD_NUMBER - 类中的静态变量tensorflow.serving.GetModelMetadata.SignatureDefMap
SIGNATURE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.FunctionDef
SIGNATURE_NAME_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Model.ModelSpec
SignatureDef - org.tensorflow.framework中的类: SignatureDef defines the signature of a computation supported by a TensorFlow graph.
SignatureDef.Builder - org.tensorflow.framework中的类: SignatureDef defines the signature of a computation supported by a TensorFlow graph.
SignatureDefOrBuilder - org.tensorflow.framework中的接口
SIMPLE_VALUE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.Summary.Value
SIZE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef.Node.OutputInfo
SIZE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorShapeProto.Dim
SIZE_FIELD_NUMBER - 类中的静态变量org.tensorflow.util.BundleEntryProto
SKIP_VALUE - 枚举中的静态变量org.tensorflow.framework.ApiDef.Visibility: Do not include this op in the generated API.
SLICES_FIELD_NUMBER - 类中的静态变量org.tensorflow.util.BundleEntryProto
SLOT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeOutput
SLOT_NAME_FIELD_NUMBER - 类中的静态变量tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
SLOT_VARIABLE_NODE_ID_FIELD_NUMBER - 类中的静态变量tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
SLOT_VARIABLES_FIELD_NUMBER - 类中的静态变量tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
SNAPSHOT_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.VariableDef
SOC_OP_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferNodeInfo
SOFTWARE_TRACE_VALUE - 枚举中的静态变量org.tensorflow.framework.RunOptions.TraceLevel: SOFTWARE_TRACE = 1;
SOURCE_ADAPTER_CONFIG_FIELD_NUMBER - 类中的静态变量tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
SOURCE_FILES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DebuggedSourceFiles
SOURCE_RANK_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteInstanceResponse
SPECIFIC_FIELD_NUMBER - 类中的静态变量tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
SRC_DEVICE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvBufRequest
SslConfig - tensorflow.serving中的类
SslConfig.SSLConfig - tensorflow.serving中的类: Configuration for a secure gRPC channel Protobuf type tensorflow.serving.SSLConfig
SslConfig.SSLConfig.Builder - tensorflow.serving中的类: Configuration for a secure gRPC channel Protobuf type tensorflow.serving.SSLConfig
SslConfig.SSLConfigOrBuilder - tensorflow.serving中的接口
START_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorSliceProto.Extent
START_VALUE - 枚举中的静态变量tensorflow.serving.GetModelStatus.ModelVersionStatus.State: The manager is tracking this servable, but has not initiated any action pertaining to it.
STATE_FIELD_NUMBER - 类中的静态变量tensorflow.serving.GetModelStatus.ModelVersionStatus
StaticStoragePathSource - tensorflow.serving中的类
StaticStoragePathSource.StaticStoragePathSourceConfig - tensorflow.serving中的类: Config proto for StaticStoragePathSource.
StaticStoragePathSource.StaticStoragePathSourceConfig.Builder - tensorflow.serving中的类: Config proto for StaticStoragePathSource.
StaticStoragePathSource.StaticStoragePathSourceConfigOrBuilder - tensorflow.serving中的接口
Status - tensorflow.serving中的类
Status.StatusProto - tensorflow.serving中的类: Status that corresponds to Status in third_party/tensorflow/core/lib/core/status.h.
Status.StatusProto.Builder - tensorflow.serving中的类: Status that corresponds to Status in third_party/tensorflow/core/lib/core/status.h.
Status.StatusProtoOrBuilder - tensorflow.serving中的接口
STATUS_CODE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunGraphResponse
STATUS_CODE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunStepResponse
STATUS_ERROR_MESSAGE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunGraphResponse
STATUS_ERROR_MESSAGE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunStepResponse
STATUS_FIELD_NUMBER - 类中的静态变量tensorflow.serving.GetModelStatus.ModelVersionStatus
STATUS_FIELD_NUMBER - 类中的静态变量tensorflow.serving.ModelManagement.ReloadConfigResponse
STEP_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.LoggingResponse
STEP_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CleanupGraphRequest
STEP_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.LabeledStepStats
STEP_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvBufRequest
STEP_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvTensorRequest
STEP_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunGraphRequest
STEP_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryLogRawAllocation
STEP_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryLogRawDeallocation
STEP_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryLogStep
STEP_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryLogTensorAllocation
STEP_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryLogTensorOutput
STEP_SEQUENCE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.GetStepSequenceResponse
STEP_STATS_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.LabeledStepStats
STEP_STATS_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunGraphResponse
STEP_STATS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RunMetadata
StepSequence - org.tensorflow.distruntime中的类: Protobuf type tensorflow.StepSequence
StepSequence.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.StepSequence
StepSequenceOrBuilder - org.tensorflow.distruntime中的接口
StepStats - org.tensorflow.framework中的类: Protobuf type tensorflow.StepStats
StepStats.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.StepStats
StepStatsOrBuilder - org.tensorflow.framework中的接口
StepStatsProtos - org.tensorflow.framework中的类
STORE_ERRORS_IN_RESPONSE_BODY_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunGraphRequest
STORE_ERRORS_IN_RESPONSE_BODY_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunStepRequest
STRENGTH_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.InterconnectLink
STRING_VAL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorProto
STRIPPED_DEFAULT_ATTRS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MetaGraphDef.MetaInfoDef
STRIPPED_OP_LIST_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MetaGraphDef.MetaInfoDef
SUBDIV_OFFSET_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteInstanceRequest
SUM_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.HistogramProto
SUM_SQUARES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.HistogramProto
Summary - org.tensorflow.framework中的类: A Summary is a set of named values to be displayed by the visualizer.
Summary.Audio - org.tensorflow.framework中的类: Protobuf type tensorflow.Summary.Audio
Summary.Audio.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.Summary.Audio
Summary.AudioOrBuilder - org.tensorflow.framework中的接口
Summary.Builder - org.tensorflow.framework中的类: A Summary is a set of named values to be displayed by the visualizer.
Summary.Image - org.tensorflow.framework中的类: Protobuf type tensorflow.Summary.Image
Summary.Image.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.Summary.Image
Summary.ImageOrBuilder - org.tensorflow.framework中的接口
Summary.Value - org.tensorflow.framework中的类: Protobuf type tensorflow.Summary.Value
Summary.Value.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.Summary.Value
Summary.Value.ValueCase - org.tensorflow.framework中的枚举
Summary.ValueOrBuilder - org.tensorflow.framework中的接口
SUMMARY_DESCRIPTION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.SummaryMetadata
SUMMARY_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ApiDef
SUMMARY_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef
SummaryDescription - org.tensorflow.framework中的类: Metadata associated with a series of Summary data Protobuf type tensorflow.SummaryDescription
SummaryDescription.Builder - org.tensorflow.framework中的类: Metadata associated with a series of Summary data Protobuf type tensorflow.SummaryDescription
SummaryDescriptionOrBuilder - org.tensorflow.framework中的接口
SummaryMetadata - org.tensorflow.framework中的类: A SummaryMetadata encapsulates information on which plugins are able to make use of a certain summary value.
SummaryMetadata.Builder - org.tensorflow.framework中的类: A SummaryMetadata encapsulates information on which plugins are able to make use of a certain summary value.
SummaryMetadata.PluginData - org.tensorflow.framework中的类: Protobuf type tensorflow.SummaryMetadata.PluginData
SummaryMetadata.PluginData.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.SummaryMetadata.PluginData
SummaryMetadata.PluginDataOrBuilder - org.tensorflow.framework中的接口
SummaryMetadataOrBuilder - org.tensorflow.framework中的接口
SummaryOrBuilder - org.tensorflow.framework中的接口
SummaryProtos - org.tensorflow.framework中的类
SWAP_MEMORY_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.WhileContextDef
SWAPPING_HEURISTICS_VALUE - 枚举中的静态变量org.tensorflow.framework.RewriterConfig.MemOptType: Swapping heuristic will move a tensor from the GPU to the CPU and move it back when needed to reduce peak memory usage.

T

TAG_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.Summary.Value
TAGS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MetaGraphDef.MetaInfoDef
TARGET_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CreateSessionRequest
TARGET_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.PartialRunSetupRequest
TARGET_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunStepRequest
TARGET_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CallableOptions
TARGET_FIELD_NUMBER - 类中的静态变量tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
TASK_INDEX_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.ServerDef
TASK_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteGroupResponse
TASKS_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.JobDef
TASKS_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Inference.MultiInferenceRequest
TEMP_MEMORY_SIZE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryStats
TEMPORARY_MEMORY_SIZE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CostGraphDef.Node
TENSOR_CONNECTION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CallableOptions
TENSOR_CONTENT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorProto
TENSOR_CONTENT_FIELD_NUMBER - 类中的静态变量tensorflow.TransportOptions.RecvBufRespExtra
TENSOR_DESCRIPTION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeOutput
TENSOR_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvTensorResponse
TENSOR_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RunStepResponse
TENSOR_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AttrValue.ListValue
TENSOR_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AttrValue
TENSOR_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryLogTensorAllocation
TENSOR_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MemoryLogTensorOutput
TENSOR_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NamedTensorProto
TENSOR_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.Summary.Value
TENSOR_FIELD_NUMBER - 类中的静态变量tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
TENSOR_INFO_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AssetFileDef
TENSOR_SHAPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorInfo
TENSOR_SHAPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorProto
TensorBundleProtos - org.tensorflow.util中的类
TensorConnection - org.tensorflow.framework中的类: Defines a connection between two tensors in a `GraphDef`.
TensorConnection.Builder - org.tensorflow.framework中的类: Defines a connection between two tensors in a `GraphDef`.
TensorConnectionOrBuilder - org.tensorflow.framework中的接口
TensorDescription - org.tensorflow.framework中的类: Protobuf type tensorflow.TensorDescription
TensorDescription.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.TensorDescription
TensorDescriptionOrBuilder - org.tensorflow.framework中的接口
TensorDescriptionProtos - org.tensorflow.framework中的类
tensorflow - 程序包 tensorflow
tensorflow.eager - 程序包 tensorflow.eager
tensorflow.serving - 程序包 tensorflow.serving
tensorflow.serving.internal - 程序包 tensorflow.serving.internal
TENSORFLOW_GIT_VERSION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MetaGraphDef.MetaInfoDef
TENSORFLOW_VALUE - 枚举中的静态变量tensorflow.serving.ModelServerConfigOuterClass.ModelType: TENSORFLOW = 1 [deprecated = true];
TENSORFLOW_VERSION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.MetaGraphDef.MetaInfoDef
TensorInfo - org.tensorflow.framework中的类: Information about a Tensor necessary for feeding or retrieval.
TensorInfo.Builder - org.tensorflow.framework中的类: Information about a Tensor necessary for feeding or retrieval.
TensorInfo.CooSparse - org.tensorflow.framework中的类: For sparse tensors, The COO encoding stores a triple of values, indices, and shape.
TensorInfo.CooSparse.Builder - org.tensorflow.framework中的类: For sparse tensors, The COO encoding stores a triple of values, indices, and shape.
TensorInfo.CooSparseOrBuilder - org.tensorflow.framework中的接口
TensorInfo.EncodingCase - org.tensorflow.framework中的枚举
TensorInfoOrBuilder - org.tensorflow.framework中的接口
TensorProto - org.tensorflow.framework中的类: Protocol buffer representing a tensor.
TensorProto.Builder - org.tensorflow.framework中的类: Protocol buffer representing a tensor.
TensorProtoOrBuilder - org.tensorflow.framework中的接口
TensorProtos - org.tensorflow.framework中的类
TENSORS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.VariantTensorDataProto
TENSORS_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
TensorShapeProto - org.tensorflow.framework中的类: Dimensions of a tensor.
TensorShapeProto.Builder - org.tensorflow.framework中的类: Dimensions of a tensor.
TensorShapeProto.Dim - org.tensorflow.framework中的类: One dimension of the tensor.
TensorShapeProto.Dim.Builder - org.tensorflow.framework中的类: One dimension of the tensor.
TensorShapeProto.DimOrBuilder - org.tensorflow.framework中的接口
TensorShapeProtoOrBuilder - org.tensorflow.framework中的接口
TensorShapeProtos - org.tensorflow.framework中的类
TensorSliceProto - org.tensorflow.framework中的类: Can only be interpreted if you know the corresponding TensorShape.
TensorSliceProto.Builder - org.tensorflow.framework中的类: Can only be interpreted if you know the corresponding TensorShape.
TensorSliceProto.Extent - org.tensorflow.framework中的类: Extent of the slice in one dimension.
TensorSliceProto.Extent.Builder - org.tensorflow.framework中的类: Extent of the slice in one dimension.
TensorSliceProto.Extent.HasLengthCase - org.tensorflow.framework中的枚举
TensorSliceProto.ExtentOrBuilder - org.tensorflow.framework中的接口
TensorSliceProtoOrBuilder - org.tensorflow.framework中的接口
TensorSliceProtos - org.tensorflow.framework中的类
THREAD_ID_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeExecStats
ThreadPoolOptionProto - org.tensorflow.framework中的类: Protobuf type tensorflow.ThreadPoolOptionProto
ThreadPoolOptionProto.Builder - org.tensorflow.framework中的类: Protobuf type tensorflow.ThreadPoolOptionProto
ThreadPoolOptionProtoOrBuilder - org.tensorflow.framework中的接口
TIMELINE_LABEL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.NodeExecStats
TIMELINE_STEP_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphOptions
TIMEOUT_IN_MS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RunOptions
TO_TENSOR_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorConnection
toBuilder() - 类中的方法org.tensorflow.distruntime.CleanupAllRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.CleanupAllResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.CloseSessionRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.CloseSessionResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.ClusterDef
toBuilder() - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.CreateSessionRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.CreateSessionResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.ExecutorOpts
toBuilder() - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.GetStatusRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.GetStatusResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.JobDef
toBuilder() - 类中的方法org.tensorflow.distruntime.LabeledStepStats
toBuilder() - 类中的方法org.tensorflow.distruntime.ListDevicesRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.ListDevicesResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.LoggingRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.LoggingResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.MakeCallableRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.MakeCallableResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.RecvBufRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.RecvBufResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.RecvTensorRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.RecvTensorResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.ResetRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.ResetResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.RunCallableRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.RunCallableResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.RunGraphRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.RunGraphResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.RunStepRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.RunStepResponse
toBuilder() - 类中的方法org.tensorflow.distruntime.ServerDef
toBuilder() - 类中的方法org.tensorflow.distruntime.StepSequence
toBuilder() - 类中的方法org.tensorflow.distruntime.TraceOpts
toBuilder() - 类中的方法org.tensorflow.distruntime.TracingRequest
toBuilder() - 类中的方法org.tensorflow.distruntime.TracingResponse
toBuilder() - 类中的方法org.tensorflow.example.BytesList
toBuilder() - 类中的方法org.tensorflow.example.Example
toBuilder() - 类中的方法org.tensorflow.example.ExampleParserConfiguration
toBuilder() - 类中的方法org.tensorflow.example.Feature
toBuilder() - 类中的方法org.tensorflow.example.FeatureConfiguration
toBuilder() - 类中的方法org.tensorflow.example.FeatureList
toBuilder() - 类中的方法org.tensorflow.example.FeatureLists
toBuilder() - 类中的方法org.tensorflow.example.Features
toBuilder() - 类中的方法org.tensorflow.example.FixedLenFeatureProto
toBuilder() - 类中的方法org.tensorflow.example.FloatList
toBuilder() - 类中的方法org.tensorflow.example.Int64List
toBuilder() - 类中的方法org.tensorflow.example.SequenceExample
toBuilder() - 类中的方法org.tensorflow.example.VarLenFeatureProto
toBuilder() - 类中的方法org.tensorflow.framework.AllocationDescription
toBuilder() - 类中的方法org.tensorflow.framework.AllocationRecord
toBuilder() - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed
toBuilder() - 类中的方法org.tensorflow.framework.ApiDef.Arg
toBuilder() - 类中的方法org.tensorflow.framework.ApiDef.Attr
toBuilder() - 类中的方法org.tensorflow.framework.ApiDef.Endpoint
toBuilder() - 类中的方法org.tensorflow.framework.ApiDef
toBuilder() - 类中的方法org.tensorflow.framework.ApiDefs
toBuilder() - 类中的方法org.tensorflow.framework.AssetFileDef
toBuilder() - 类中的方法org.tensorflow.framework.AttrValue.ListValue
toBuilder() - 类中的方法org.tensorflow.framework.AttrValue
toBuilder() - 类中的方法org.tensorflow.framework.AutoParallelOptions
toBuilder() - 类中的方法org.tensorflow.framework.CallableOptions
toBuilder() - 类中的方法org.tensorflow.framework.CollectionDef.AnyList
toBuilder() - 类中的方法org.tensorflow.framework.CollectionDef.BytesList
toBuilder() - 类中的方法org.tensorflow.framework.CollectionDef.FloatList
toBuilder() - 类中的方法org.tensorflow.framework.CollectionDef.Int64List
toBuilder() - 类中的方法org.tensorflow.framework.CollectionDef.NodeList
toBuilder() - 类中的方法org.tensorflow.framework.CollectionDef
toBuilder() - 类中的方法org.tensorflow.framework.CondContextDef
toBuilder() - 类中的方法org.tensorflow.framework.ConfigProto.Experimental
toBuilder() - 类中的方法org.tensorflow.framework.ConfigProto
toBuilder() - 类中的方法org.tensorflow.framework.ControlFlowContextDef
toBuilder() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
toBuilder() - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
toBuilder() - 类中的方法org.tensorflow.framework.CostGraphDef.Node
toBuilder() - 类中的方法org.tensorflow.framework.CostGraphDef
toBuilder() - 类中的方法org.tensorflow.framework.CriticalSectionDef
toBuilder() - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef
toBuilder() - 类中的方法org.tensorflow.framework.DebuggedSourceFile
toBuilder() - 类中的方法org.tensorflow.framework.DebuggedSourceFiles
toBuilder() - 类中的方法org.tensorflow.framework.DebugOptions
toBuilder() - 类中的方法org.tensorflow.framework.DebugTensorWatch
toBuilder() - 类中的方法org.tensorflow.framework.DeviceAttributes
toBuilder() - 类中的方法org.tensorflow.framework.DeviceLocality
toBuilder() - 类中的方法org.tensorflow.framework.DeviceStepStats
toBuilder() - 类中的方法org.tensorflow.framework.FunctionDef
toBuilder() - 类中的方法org.tensorflow.framework.FunctionDefLibrary
toBuilder() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental
toBuilder() - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
toBuilder() - 类中的方法org.tensorflow.framework.GPUOptions
toBuilder() - 类中的方法org.tensorflow.framework.GradientDef
toBuilder() - 类中的方法org.tensorflow.framework.GraphDef
toBuilder() - 类中的方法org.tensorflow.framework.GraphOptions
toBuilder() - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
toBuilder() - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
toBuilder() - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
toBuilder() - 类中的方法org.tensorflow.framework.GraphTransferInfo
toBuilder() - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo
toBuilder() - 类中的方法org.tensorflow.framework.GraphTransferNodeInput
toBuilder() - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo
toBuilder() - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo
toBuilder() - 类中的方法org.tensorflow.framework.HistogramProto
toBuilder() - 类中的方法org.tensorflow.framework.InterconnectLink
toBuilder() - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint
toBuilder() - 类中的方法org.tensorflow.framework.KernelDef
toBuilder() - 类中的方法org.tensorflow.framework.KernelList
toBuilder() - 类中的方法org.tensorflow.framework.LocalLinks
toBuilder() - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation
toBuilder() - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation
toBuilder() - 类中的方法org.tensorflow.framework.MemoryLogStep
toBuilder() - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation
toBuilder() - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation
toBuilder() - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput
toBuilder() - 类中的方法org.tensorflow.framework.MemoryStats
toBuilder() - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
toBuilder() - 类中的方法org.tensorflow.framework.MetaGraphDef
toBuilder() - 类中的方法org.tensorflow.framework.NameAttrList
toBuilder() - 类中的方法org.tensorflow.framework.NamedTensorProto
toBuilder() - 类中的方法org.tensorflow.framework.NodeDef
toBuilder() - 类中的方法org.tensorflow.framework.NodeExecStats
toBuilder() - 类中的方法org.tensorflow.framework.NodeOutput
toBuilder() - 类中的方法org.tensorflow.framework.OpDef.ArgDef
toBuilder() - 类中的方法org.tensorflow.framework.OpDef.AttrDef
toBuilder() - 类中的方法org.tensorflow.framework.OpDef
toBuilder() - 类中的方法org.tensorflow.framework.OpDeprecation
toBuilder() - 类中的方法org.tensorflow.framework.OpList
toBuilder() - 类中的方法org.tensorflow.framework.OptimizerOptions
toBuilder() - 类中的方法org.tensorflow.framework.QueueRunnerDef
toBuilder() - 类中的方法org.tensorflow.framework.ReaderBaseState
toBuilder() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
toBuilder() - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
toBuilder() - 类中的方法org.tensorflow.framework.ResourceHandleProto
toBuilder() - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
toBuilder() - 类中的方法org.tensorflow.framework.RewriterConfig
toBuilder() - 类中的方法org.tensorflow.framework.RPCOptions
toBuilder() - 类中的方法org.tensorflow.framework.RunMetadata
toBuilder() - 类中的方法org.tensorflow.framework.RunOptions.Experimental
toBuilder() - 类中的方法org.tensorflow.framework.RunOptions
toBuilder() - 类中的方法org.tensorflow.framework.SavedModel
toBuilder() - 类中的方法org.tensorflow.framework.SaveSliceInfoDef
toBuilder() - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions
toBuilder() - 类中的方法org.tensorflow.framework.SignatureDef
toBuilder() - 类中的方法org.tensorflow.framework.StepStats
toBuilder() - 类中的方法org.tensorflow.framework.Summary.Audio
toBuilder() - 类中的方法org.tensorflow.framework.Summary.Image
toBuilder() - 类中的方法org.tensorflow.framework.Summary
toBuilder() - 类中的方法org.tensorflow.framework.Summary.Value
toBuilder() - 类中的方法org.tensorflow.framework.SummaryDescription
toBuilder() - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData
toBuilder() - 类中的方法org.tensorflow.framework.SummaryMetadata
toBuilder() - 类中的方法org.tensorflow.framework.TensorConnection
toBuilder() - 类中的方法org.tensorflow.framework.TensorDescription
toBuilder() - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse
toBuilder() - 类中的方法org.tensorflow.framework.TensorInfo
toBuilder() - 类中的方法org.tensorflow.framework.TensorProto
toBuilder() - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim
toBuilder() - 类中的方法org.tensorflow.framework.TensorShapeProto
toBuilder() - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent
toBuilder() - 类中的方法org.tensorflow.framework.TensorSliceProto
toBuilder() - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto
toBuilder() - 类中的方法org.tensorflow.framework.ValuesDef
toBuilder() - 类中的方法org.tensorflow.framework.VariableDef
toBuilder() - 类中的方法org.tensorflow.framework.VariantTensorDataProto
toBuilder() - 类中的方法org.tensorflow.framework.VersionDef
toBuilder() - 类中的方法org.tensorflow.framework.WhileContextDef
toBuilder() - 类中的方法org.tensorflow.util.BundleEntryProto
toBuilder() - 类中的方法org.tensorflow.util.BundleHeaderProto
toBuilder() - 类中的方法org.tensorflow.util.IteratorStateMetadata
toBuilder() - 类中的方法org.tensorflow.util.SaverDef
toBuilder() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
toBuilder() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
toBuilder() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
toBuilder() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
toBuilder() - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
toBuilder() - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
toBuilder() - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice
toBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
toBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
toBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
toBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
toBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
toBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
toBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
toBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
toBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation
toBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem
toBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
toBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
toBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
toBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
toBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
toBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
toBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
toBuilder() - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
toBuilder() - 类中的方法tensorflow.serving.Classification.Class
toBuilder() - 类中的方法tensorflow.serving.Classification.ClassificationRequest
toBuilder() - 类中的方法tensorflow.serving.Classification.ClassificationResponse
toBuilder() - 类中的方法tensorflow.serving.Classification.ClassificationResult
toBuilder() - 类中的方法tensorflow.serving.Classification.Classifications
toBuilder() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
toBuilder() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
toBuilder() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
toBuilder() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
toBuilder() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
toBuilder() - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
toBuilder() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
toBuilder() - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
toBuilder() - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
toBuilder() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
toBuilder() - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
toBuilder() - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus
toBuilder() - 类中的方法tensorflow.serving.Inference.InferenceResult
toBuilder() - 类中的方法tensorflow.serving.Inference.InferenceTask
toBuilder() - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest
toBuilder() - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse
toBuilder() - 类中的方法tensorflow.serving.InputOuterClass.ExampleList
toBuilder() - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
toBuilder() - 类中的方法tensorflow.serving.InputOuterClass.Input
toBuilder() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
toBuilder() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
toBuilder() - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
toBuilder() - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
toBuilder() - 类中的方法tensorflow.serving.Logging.LogMetadata
toBuilder() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
toBuilder() - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
toBuilder() - 类中的方法tensorflow.serving.Model.ModelSpec
toBuilder() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest
toBuilder() - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse
toBuilder() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
toBuilder() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
toBuilder() - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
toBuilder() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
toBuilder() - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
toBuilder() - 类中的方法tensorflow.serving.Predict.PredictRequest
toBuilder() - 类中的方法tensorflow.serving.Predict.PredictResponse
toBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
toBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
toBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
toBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog
toBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog
toBuilder() - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
toBuilder() - 类中的方法tensorflow.serving.RegressionOuterClass.Regression
toBuilder() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest
toBuilder() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse
toBuilder() - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult
toBuilder() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
toBuilder() - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
toBuilder() - 类中的方法tensorflow.serving.SslConfig.SSLConfig
toBuilder() - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
toBuilder() - 类中的方法tensorflow.serving.Status.StatusProto
toBuilder() - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra
TOLERATE_DEBUG_OP_CREATION_FAILURES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.DebugTensorWatch
TOTAL_BYTES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AllocatorMemoryUsed
TRACE_LEVEL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RunOptions
TraceOpts - org.tensorflow.distruntime中的类: Protobuf type tensorflow.TraceOpts
TraceOpts.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.TraceOpts
TraceOptsOrBuilder - org.tensorflow.distruntime中的接口
tracing(TracingRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceBlockingStub: See worker.proto for details.
tracing(TracingRequest) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceFutureStub: See worker.proto for details.
tracing(TracingRequest, StreamObserver<TracingResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceImplBase: See worker.proto for details.
tracing(TracingRequest, StreamObserver<TracingResponse>) - 类中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceStub: See worker.proto for details.
TracingRequest - org.tensorflow.distruntime中的类: Out-of-band request to configure distributed tracing.
TracingRequest.Builder - org.tensorflow.distruntime中的类: Out-of-band request to configure distributed tracing.
TracingRequestOrBuilder - org.tensorflow.distruntime中的接口
TracingResponse - org.tensorflow.distruntime中的类: Protobuf type tensorflow.TracingResponse
TracingResponse.Builder - org.tensorflow.distruntime中的类: Protobuf type tensorflow.TracingResponse
TracingResponseOrBuilder - org.tensorflow.distruntime中的接口
TRAINABLE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.VariableDef
TRANSPORT_OPTIONS_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvBufRequest
TRANSPORT_OPTIONS_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvBufResponse
TRANSPORT_OPTIONS_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvTensorRequest
TRANSPORT_OPTIONS_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.RecvTensorResponse
TransportOptions - tensorflow中的类
TransportOptions.RecvBufRespExtra - tensorflow中的类: Extra data needed on a non-RDMA RecvBufResponse.
TransportOptions.RecvBufRespExtra.Builder - tensorflow中的类: Extra data needed on a non-RDMA RecvBufResponse.
TransportOptions.RecvBufRespExtraOrBuilder - tensorflow中的接口
TWO_VALUE - 枚举中的静态变量org.tensorflow.framework.RewriterConfig.NumIterationsType: TWO = 2;
TYPE_ATTR_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef.ArgDef
TYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.CompleteInstanceRequest
TYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AttrValue.ListValue
TYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.AttrValue
TYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.InterconnectLink
TYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef.ArgDef
TYPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef.AttrDef
TYPE_FIELD_NUMBER - 类中的静态变量tensorflow.DevicePropertiesProtos.DeviceProperties
TYPE_FIELD_NUMBER - 类中的静态变量tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
TYPE_HINT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.SummaryDescription
TYPE_LIST_ATTR_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDef.ArgDef
TYPE_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphTransferNodeInfo
TYPE_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.VariantTensorDataProto
TypesProtos - org.tensorflow.framework中的类

U

UINT32_VAL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorProto
UINT64_VAL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorProto
UNAUTHENTICATED_VALUE - 枚举中的静态变量org.tensorflow.framework.Code: The request does not have valid authentication credentials for the operation.
UNAVAILABLE_VALUE - 枚举中的静态变量org.tensorflow.framework.Code: The service is currently unavailable.
UNIMPLEMENTED_VALUE - 枚举中的静态变量org.tensorflow.framework.Code: Operation is not implemented or not supported/enabled in this service.
UNKNOWN_RANK_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorShapeProto
UNKNOWN_VALUE - 枚举中的静态变量org.tensorflow.framework.Code: Unknown error.
UNKNOWN_VALUE - 枚举中的静态变量tensorflow.serving.GetModelStatus.ModelVersionStatus.State: Default value.
UNLOADING_VALUE - 枚举中的静态变量tensorflow.serving.GetModelStatus.ModelVersionStatus.State: The manager has decided to make this servable unavailable, and unload it.
USE_EXTENDED_PROFILER_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.TraceOpts
USE_GPU_PROFILER_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.TraceOpts
USE_KERNEL_PROFILER_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.TraceOpts
USE_PER_SESSION_THREADS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ConfigProto
USE_RPC_FOR_INPROCESS_MASTER_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.RPCOptions
USE_SAMPLE_PROFILER_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.TraceOpts
USE_STEP_PROFILER_FIELD_NUMBER - 类中的静态变量org.tensorflow.distruntime.TraceOpts
USE_UNIFIED_MEMORY_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GPUOptions.Experimental

V

V1_VALUE - 枚举中的静态变量org.tensorflow.util.SaverDef.CheckpointFormatVersion: Deprecated format: tf.Saver() which works with tensorflow::table::Table.
V2_VALUE - 枚举中的静态变量org.tensorflow.util.SaverDef.CheckpointFormatVersion: Current format: more efficient.
VALUE_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.BytesList
VALUE_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.FloatList
VALUE_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.Int64List
VALUE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CollectionDef.AnyList
VALUE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CollectionDef.BytesList
VALUE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CollectionDef.FloatList
VALUE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CollectionDef.Int64List
VALUE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CollectionDef.NodeList
VALUE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.Summary
VALUE_FIELD_NUMBER - 类中的静态变量tensorflow.serving.RegressionOuterClass.Regression
valueOf(String) - 枚举中的静态方法org.tensorflow.example.Feature.KindCase: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法org.tensorflow.example.Feature.KindCase: 已过时。
Use Feature.KindCase.forNumber(int) instead.
valueOf(String) - 枚举中的静态方法org.tensorflow.example.FeatureConfiguration.ConfigCase: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法org.tensorflow.example.FeatureConfiguration.ConfigCase: 已过时。
Use FeatureConfiguration.ConfigCase.forNumber(int) instead.
valueOf(String) - 枚举中的静态方法org.tensorflow.framework.ApiDef.Visibility: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法org.tensorflow.framework.ApiDef.Visibility: 已过时。
Use ApiDef.Visibility.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - 枚举中的静态方法org.tensorflow.framework.ApiDef.Visibility
valueOf(String) - 枚举中的静态方法org.tensorflow.framework.AttrValue.ValueCase: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法org.tensorflow.framework.AttrValue.ValueCase: 已过时。
Use AttrValue.ValueCase.forNumber(int) instead.
valueOf(String) - 枚举中的静态方法org.tensorflow.framework.Code: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法org.tensorflow.framework.Code: 已过时。
Use Code.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - 枚举中的静态方法org.tensorflow.framework.Code
valueOf(String) - 枚举中的静态方法org.tensorflow.framework.CollectionDef.KindCase: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法org.tensorflow.framework.CollectionDef.KindCase: 已过时。
Use CollectionDef.KindCase.forNumber(int) instead.
valueOf(String) - 枚举中的静态方法org.tensorflow.framework.ControlFlowContextDef.CtxtCase: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法org.tensorflow.framework.ControlFlowContextDef.CtxtCase: 已过时。
Use ControlFlowContextDef.CtxtCase.forNumber(int) instead.
valueOf(String) - 枚举中的静态方法org.tensorflow.framework.DataType: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法org.tensorflow.framework.DataType: 已过时。
Use DataType.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - 枚举中的静态方法org.tensorflow.framework.DataType
valueOf(String) - 枚举中的静态方法org.tensorflow.framework.GraphTransferInfo.Destination: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法org.tensorflow.framework.GraphTransferInfo.Destination: 已过时。
Use GraphTransferInfo.Destination.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - 枚举中的静态方法org.tensorflow.framework.GraphTransferInfo.Destination
valueOf(String) - 枚举中的静态方法org.tensorflow.framework.OptimizerOptions.GlobalJitLevel: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法org.tensorflow.framework.OptimizerOptions.GlobalJitLevel: 已过时。
Use OptimizerOptions.GlobalJitLevel.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - 枚举中的静态方法org.tensorflow.framework.OptimizerOptions.GlobalJitLevel
valueOf(String) - 枚举中的静态方法org.tensorflow.framework.OptimizerOptions.Level: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法org.tensorflow.framework.OptimizerOptions.Level: 已过时。
Use OptimizerOptions.Level.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - 枚举中的静态方法org.tensorflow.framework.OptimizerOptions.Level
valueOf(String) - 枚举中的静态方法org.tensorflow.framework.RewriterConfig.MemOptType: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法org.tensorflow.framework.RewriterConfig.MemOptType: 已过时。
Use RewriterConfig.MemOptType.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - 枚举中的静态方法org.tensorflow.framework.RewriterConfig.MemOptType
valueOf(String) - 枚举中的静态方法org.tensorflow.framework.RewriterConfig.NumIterationsType: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法org.tensorflow.framework.RewriterConfig.NumIterationsType: 已过时。
Use RewriterConfig.NumIterationsType.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - 枚举中的静态方法org.tensorflow.framework.RewriterConfig.NumIterationsType
valueOf(String) - 枚举中的静态方法org.tensorflow.framework.RewriterConfig.Toggle: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法org.tensorflow.framework.RewriterConfig.Toggle: 已过时。
Use RewriterConfig.Toggle.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - 枚举中的静态方法org.tensorflow.framework.RewriterConfig.Toggle
valueOf(String) - 枚举中的静态方法org.tensorflow.framework.RunOptions.TraceLevel: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法org.tensorflow.framework.RunOptions.TraceLevel: 已过时。
Use RunOptions.TraceLevel.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - 枚举中的静态方法org.tensorflow.framework.RunOptions.TraceLevel
valueOf(String) - 枚举中的静态方法org.tensorflow.framework.Summary.Value.ValueCase: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法org.tensorflow.framework.Summary.Value.ValueCase: 已过时。
Use Summary.Value.ValueCase.forNumber(int) instead.
valueOf(String) - 枚举中的静态方法org.tensorflow.framework.TensorInfo.EncodingCase: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法org.tensorflow.framework.TensorInfo.EncodingCase: 已过时。
Use TensorInfo.EncodingCase.forNumber(int) instead.
valueOf(String) - 枚举中的静态方法org.tensorflow.framework.TensorSliceProto.Extent.HasLengthCase: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法org.tensorflow.framework.TensorSliceProto.Extent.HasLengthCase: 已过时。
Use TensorSliceProto.Extent.HasLengthCase.forNumber(int) instead.
valueOf(String) - 枚举中的静态方法org.tensorflow.util.BundleHeaderProto.Endianness: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法org.tensorflow.util.BundleHeaderProto.Endianness: 已过时。
Use BundleHeaderProto.Endianness.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - 枚举中的静态方法org.tensorflow.util.BundleHeaderProto.Endianness
valueOf(String) - 枚举中的静态方法org.tensorflow.util.SaverDef.CheckpointFormatVersion: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法org.tensorflow.util.SaverDef.CheckpointFormatVersion: 已过时。
Use SaverDef.CheckpointFormatVersion.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - 枚举中的静态方法org.tensorflow.util.SaverDef.CheckpointFormatVersion
valueOf(String) - 枚举中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem.ItemCase: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem.ItemCase: 已过时。
Use EagerServiceOuterClass.QueueItem.ItemCase.forNumber(int) instead.
valueOf(String) - 枚举中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.PolicyChoiceCase: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.PolicyChoiceCase: 已过时。
Use FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.PolicyChoiceCase.forNumber(int) instead.
valueOf(String) - 枚举中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus.State: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus.State: 已过时。
Use GetModelStatus.ModelVersionStatus.State.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - 枚举中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus.State
valueOf(String) - 枚举中的静态方法tensorflow.serving.Inference.InferenceResult.ResultCase: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法tensorflow.serving.Inference.InferenceResult.ResultCase: 已过时。
Use Inference.InferenceResult.ResultCase.forNumber(int) instead.
valueOf(String) - 枚举中的静态方法tensorflow.serving.InputOuterClass.Input.KindCase: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法tensorflow.serving.InputOuterClass.Input.KindCase: 已过时。
Use InputOuterClass.Input.KindCase.forNumber(int) instead.
valueOf(String) - 枚举中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.KindCase: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.KindCase: 已过时。
Use SerializedInputOuterClass.SerializedInput.KindCase.forNumber(int) instead.
valueOf(String) - 枚举中的静态方法tensorflow.serving.Model.ModelSpec.VersionChoiceCase: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法tensorflow.serving.Model.ModelSpec.VersionChoiceCase: 已过时。
Use Model.ModelSpec.VersionChoiceCase.forNumber(int) instead.
valueOf(String) - 枚举中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.ConfigCase: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.ConfigCase: 已过时。
Use ModelServerConfigOuterClass.ModelServerConfig.ConfigCase.forNumber(int) instead.
valueOf(String) - 枚举中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelType: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelType: 已过时。
Use ModelServerConfigOuterClass.ModelType.forNumber(int) instead.
valueOf(Descriptors.EnumValueDescriptor) - 枚举中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelType
valueOf(String) - 枚举中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.LogTypeCase: 返回带有指定名称的该类型的枚举常量。
valueOf(int) - 枚举中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.LogTypeCase: 已过时。
Use PredictionLogOuterClass.PredictionLog.LogTypeCase.forNumber(int) instead.
values() - 枚举中的静态方法org.tensorflow.example.Feature.KindCase: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.tensorflow.example.FeatureConfiguration.ConfigCase: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.tensorflow.framework.ApiDef.Visibility: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.tensorflow.framework.AttrValue.ValueCase: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.tensorflow.framework.Code: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.tensorflow.framework.CollectionDef.KindCase: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.tensorflow.framework.ControlFlowContextDef.CtxtCase: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.tensorflow.framework.DataType: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.tensorflow.framework.GraphTransferInfo.Destination: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.tensorflow.framework.OptimizerOptions.GlobalJitLevel: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.tensorflow.framework.OptimizerOptions.Level: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.tensorflow.framework.RewriterConfig.MemOptType: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.tensorflow.framework.RewriterConfig.NumIterationsType: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.tensorflow.framework.RewriterConfig.Toggle: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.tensorflow.framework.RunOptions.TraceLevel: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.tensorflow.framework.Summary.Value.ValueCase: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.tensorflow.framework.TensorInfo.EncodingCase: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.tensorflow.framework.TensorSliceProto.Extent.HasLengthCase: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.tensorflow.util.BundleHeaderProto.Endianness: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.tensorflow.util.SaverDef.CheckpointFormatVersion: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem.ItemCase: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.PolicyChoiceCase: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus.State: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法tensorflow.serving.Inference.InferenceResult.ResultCase: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法tensorflow.serving.InputOuterClass.Input.KindCase: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.KindCase: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法tensorflow.serving.Model.ModelSpec.VersionChoiceCase: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.ConfigCase: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelType: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.LogTypeCase: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
VALUES_DEF_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.CondContextDef
VALUES_DEF_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.WhileContextDef
VALUES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ValuesDef
VALUES_OUTPUT_TENSOR_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.FixedLenFeatureProto
VALUES_OUTPUT_TENSOR_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.VarLenFeatureProto
VALUES_TENSOR_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorInfo.CooSparse
ValuesDef - org.tensorflow.framework中的类: Protocol buffer representing the values in ControlFlowContext.
ValuesDef.Builder - org.tensorflow.framework中的类: Protocol buffer representing the values in ControlFlowContext.
ValuesDefOrBuilder - org.tensorflow.framework中的接口
VAR_LEN_FEATURE_FIELD_NUMBER - 类中的静态变量org.tensorflow.example.FeatureConfiguration
VAR_OFFSET_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.SaveSliceInfoDef
VAR_SHAPE_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.SaveSliceInfoDef
VARIABLE_NAME_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.VariableDef
VariableDef - org.tensorflow.framework中的类: Protocol buffer representing a Variable.
VariableDef.Builder - org.tensorflow.framework中的类: Protocol buffer representing a Variable.
VariableDefOrBuilder - org.tensorflow.framework中的接口
VariableProtos - org.tensorflow.framework中的类
VARIANT_VAL_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorProto
VariantTensorDataProto - org.tensorflow.framework中的类: Protocol buffer representing the serialization format of DT_VARIANT tensors.
VariantTensorDataProto.Builder - org.tensorflow.framework中的类: Protocol buffer representing the serialization format of DT_VARIANT tensors.
VariantTensorDataProtoOrBuilder - org.tensorflow.framework中的接口
VarLenFeatureProto - org.tensorflow.example中的类: Protobuf type tensorflow.VarLenFeatureProto
VarLenFeatureProto.Builder - org.tensorflow.example中的类: Protobuf type tensorflow.VarLenFeatureProto
VarLenFeatureProtoOrBuilder - org.tensorflow.example中的接口
VENDOR_FIELD_NUMBER - 类中的静态变量tensorflow.DevicePropertiesProtos.DeviceProperties
VERSION_DEF_FIELD_NUMBER - 类中的静态变量tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
VERSION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphDef
VERSION_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.OpDeprecation
VERSION_FIELD_NUMBER - 类中的静态变量org.tensorflow.util.BundleHeaderProto
VERSION_FIELD_NUMBER - 类中的静态变量org.tensorflow.util.IteratorStateMetadata
VERSION_FIELD_NUMBER - 类中的静态变量org.tensorflow.util.SaverDef
VERSION_FIELD_NUMBER - 类中的静态变量tensorflow.serving.GetModelStatus.ModelVersionStatus
VERSION_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Model.ModelSpec
VERSION_LABEL_FIELD_NUMBER - 类中的静态变量tensorflow.serving.Model.ModelSpec
VERSION_NUM_FIELD_NUMBER - 类中的静态变量tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
VERSION_NUMBER_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.TensorProto
VERSION_PATH_FIELD_NUMBER - 类中的静态变量tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
VersionDef - org.tensorflow.framework中的类: Version information for a piece of serialized data There are different types of versions for each type of data (GraphDef, etc.), but they all have the same common shape described here.
VersionDef.Builder - org.tensorflow.framework中的类: Version information for a piece of serialized data There are different types of versions for each type of data (GraphDef, etc.), but they all have the same common shape described here.
VersionDefOrBuilder - org.tensorflow.framework中的接口
VERSIONS_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GraphDef
VERSIONS_FIELD_NUMBER - 类中的静态变量tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
VersionsProtos - org.tensorflow.framework中的类
VIRTUAL_DEVICES_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GPUOptions.Experimental
VISIBILITY_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ApiDef
VISIBLE_DEVICE_LIST_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.GPUOptions
VISIBLE_VALUE - 枚举中的静态变量org.tensorflow.framework.ApiDef.Visibility: Publicly visible in the API.

W

waitQueueDone(EagerServiceOuterClass.WaitQueueDoneRequest) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceBlockingStub: Takes a set of op IDs and waits until those ops are done.
waitQueueDone(EagerServiceOuterClass.WaitQueueDoneRequest) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceFutureStub: Takes a set of op IDs and waits until those ops are done.
waitQueueDone(EagerServiceOuterClass.WaitQueueDoneRequest, StreamObserver<EagerServiceOuterClass.WaitQueueDoneResponse>) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceImplBase: Takes a set of op IDs and waits until those ops are done.
waitQueueDone(EagerServiceOuterClass.WaitQueueDoneRequest, StreamObserver<EagerServiceOuterClass.WaitQueueDoneResponse>) - 类中的方法tensorflow.eager.EagerServiceGrpc.EagerServiceStub: Takes a set of op IDs and waits until those ops are done.
WHILE_CTXT_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ControlFlowContextDef
WhileContextDef - org.tensorflow.framework中的类: Protocol buffer representing a WhileContext object.
WhileContextDef.Builder - org.tensorflow.framework中的类: Protocol buffer representing a WhileContext object.
WhileContextDefOrBuilder - org.tensorflow.framework中的接口
WIDTH_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.Summary.Image
WORK_FINISHED_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ReaderBaseState
WORK_STARTED_FIELD_NUMBER - 类中的静态变量org.tensorflow.framework.ReaderBaseState
WorkerProtos - org.tensorflow.distruntime中的类
WorkerServiceGrpc - org.tensorflow.distruntime中的类
WorkerServiceGrpc.WorkerServiceBlockingStub - org.tensorflow.distruntime中的类
WorkerServiceGrpc.WorkerServiceFutureStub - org.tensorflow.distruntime中的类
WorkerServiceGrpc.WorkerServiceImplBase - org.tensorflow.distruntime中的类
WorkerServiceGrpc.WorkerServiceStub - org.tensorflow.distruntime中的类
WorkerServiceImplBase() - 类的构造器org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceImplBase
WorkerServiceProtos - org.tensorflow.distruntime中的类
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.CleanupAllRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.CleanupAllResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.CleanupGraphRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.CleanupGraphResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.CloseSessionRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.CloseSessionResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.ClusterDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.CompleteGroupRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.CompleteGroupResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.CompleteInstanceRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.CompleteInstanceResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.CreateSessionRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.CreateSessionResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.DeregisterGraphRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.DeregisterGraphResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.ExecutorOpts
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.ExtendSessionRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.ExtendSessionResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.GetStatusRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.GetStatusResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.GetStepSequenceRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.GetStepSequenceResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.JobDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.LabeledStepStats
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.ListDevicesRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.ListDevicesResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.LoggingRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.LoggingResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.MakeCallableRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.MakeCallableResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.PartialRunSetupRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.PartialRunSetupResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.RecvBufRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.RecvBufResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.RecvTensorRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.RecvTensorResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.RegisterGraphRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.RegisterGraphResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.ReleaseCallableRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.ReleaseCallableResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.ResetRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.ResetResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.RunCallableRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.RunCallableResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.RunGraphRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.RunGraphResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.RunStepRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.RunStepResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.ServerDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.StepSequence
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.TraceOpts
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.TracingRequest
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.distruntime.TracingResponse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.example.BytesList
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.example.Example
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.example.ExampleParserConfiguration
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.example.Feature
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.example.FeatureConfiguration
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.example.FeatureList
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.example.FeatureLists
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.example.Features
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.example.FixedLenFeatureProto
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.example.FloatList
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.example.Int64List
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.example.SequenceExample
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.example.VarLenFeatureProto
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.AllocationDescription
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.AllocationRecord
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.AllocatorMemoryUsed
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.ApiDef.Arg
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.ApiDef.Attr
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.ApiDef.Endpoint
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.ApiDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.ApiDefs
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.AssetFileDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.AttrValue.ListValue
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.AttrValue
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.AutoParallelOptions
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.CallableOptions
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.CollectionDef.AnyList
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.CollectionDef.BytesList
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.CollectionDef.FloatList
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.CollectionDef.Int64List
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.CollectionDef.NodeList
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.CollectionDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.CondContextDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.ConfigProto.Experimental
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.ConfigProto
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.ControlFlowContextDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.CostGraphDef.Node
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.CostGraphDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.CriticalSectionDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.CriticalSectionExecutionDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.DebuggedSourceFile
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.DebuggedSourceFiles
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.DebugOptions
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.DebugTensorWatch
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.DeviceAttributes
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.DeviceLocality
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.DeviceStepStats
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.FunctionDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.FunctionDefLibrary
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.GPUOptions.Experimental
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.GPUOptions
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.GradientDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.GraphDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.GraphOptions
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.GraphTransferInfo
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.GraphTransferNodeInfo
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.GraphTransferNodeInput
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.GraphTransferNodeInputInfo
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.HistogramProto
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.InterconnectLink
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.KernelDef.AttrConstraint
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.KernelDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.KernelList
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.LocalLinks
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.MemoryLogRawAllocation
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.MemoryLogRawDeallocation
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.MemoryLogStep
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.MemoryLogTensorAllocation
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.MemoryLogTensorDeallocation
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.MemoryLogTensorOutput
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.MemoryStats
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.MetaGraphDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.NameAttrList
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.NamedTensorProto
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.NodeDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.NodeExecStats
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.NodeOutput
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.OpDef.ArgDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.OpDef.AttrDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.OpDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.OpDeprecation
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.OpList
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.OptimizerOptions
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.QueueRunnerDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.ReaderBaseState
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.ResourceHandleProto
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.RewriterConfig
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.RPCOptions
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.RunMetadata
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.RunOptions.Experimental
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.RunOptions
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.SavedModel
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.SaveSliceInfoDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.ScopedAllocatorOptions
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.SignatureDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.StepStats
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.Summary.Audio
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.Summary.Image
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.Summary.Value
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.Summary
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.SummaryDescription
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.SummaryMetadata.PluginData
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.SummaryMetadata
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.TensorConnection
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.TensorDescription
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.TensorInfo.CooSparse
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.TensorInfo
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.TensorProto
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.TensorShapeProto.Dim
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.TensorShapeProto
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.TensorSliceProto.Extent
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.TensorSliceProto
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.ThreadPoolOptionProto
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.ValuesDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.VariableDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.VariantTensorDataProto
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.VersionDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.framework.WhileContextDef
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.util.BundleEntryProto
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.util.BundleHeaderProto
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.util.IteratorStateMetadata
writeTo(CodedOutputStream) - 类中的方法org.tensorflow.util.SaverDef
writeTo(CodedOutputStream) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
writeTo(CodedOutputStream) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
writeTo(CodedOutputStream) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
writeTo(CodedOutputStream) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
writeTo(CodedOutputStream) - 类中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
writeTo(CodedOutputStream) - 类中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
writeTo(CodedOutputStream) - 类中的方法tensorflow.DevicePropertiesProtos.NamedDevice
writeTo(CodedOutputStream) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
writeTo(CodedOutputStream) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
writeTo(CodedOutputStream) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
writeTo(CodedOutputStream) - 类中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
writeTo(CodedOutputStream) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
writeTo(CodedOutputStream) - 类中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
writeTo(CodedOutputStream) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
writeTo(CodedOutputStream) - 类中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
writeTo(CodedOutputStream) - 类中的方法tensorflow.eager.EagerServiceOuterClass.Operation
writeTo(CodedOutputStream) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem
writeTo(CodedOutputStream) - 类中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
writeTo(CodedOutputStream) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
writeTo(CodedOutputStream) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
writeTo(CodedOutputStream) - 类中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
writeTo(CodedOutputStream) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
writeTo(CodedOutputStream) - 类中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
writeTo(CodedOutputStream) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
writeTo(CodedOutputStream) - 类中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.Classification.Class
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.Classification.ClassificationRequest
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.Classification.ClassificationResponse
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.Classification.ClassificationResult
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.Classification.Classifications
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.Inference.InferenceResult
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.Inference.InferenceTask
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.Inference.MultiInferenceRequest
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.Inference.MultiInferenceResponse
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.InputOuterClass.ExampleList
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.InputOuterClass.Input
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.Logging.LogMetadata
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.Model.ModelSpec
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.Predict.PredictRequest
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.Predict.PredictResponse
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.RegressionOuterClass.Regression
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.RegressionOuterClass.RegressionResult
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.SslConfig.SSLConfig
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
writeTo(CodedOutputStream) - 类中的方法tensorflow.serving.Status.StatusProto
writeTo(CodedOutputStream) - 类中的方法tensorflow.TransportOptions.RecvBufRespExtra

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